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This paper presents an overview of quadruped robots, encompassing their design principles, control mechanisms, perception systems, and applications across various industries. We review the historical evolution and technological milestones that have shaped quadruped robotics. To understand their impact on performance and functionality, key aspects of mechanical design are analyzed, including leg configurations, actuation systems, and material selection. Control strategies for locomotion, balance, and navigation are all examined, highlighting the integration of artificial intelligence and machine learning to enhance adaptability and autonomy. This review also explores perception and sensing technologies that enable environmental interaction and decision-making capabilities. Furthermore, we systematically examine the diverse applications of quadruped robots in sectors including the military, search and rescue, industrial inspection, agriculture, and entertainment. Finally, we address challenges and limitations, including technical hurdles, ethical considerations, and regulatory issues, and propose future research directions to advance the field. By structuring this review as a systematic study, we ensure clarity and a comprehensive understanding of the domain, making it a valuable resource for researchers and engineers in quadruped robotics.<\/jats:p>","DOI":"10.3390\/robotics14050057","type":"journal-article","created":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T03:50:43Z","timestamp":1746071443000},"page":"57","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Quadruped Robots: Bridging Mechanical Design, Control, and Applications"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9216-8051","authenticated-orcid":false,"given":"Qimeng","family":"Li","sequence":"first","affiliation":[{"name":"ICAR-CNR\u2014Institute for High Performance Computing and Networking, National Research Council, 87036 Rende, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6138-5739","authenticated-orcid":false,"given":"Franco","family":"Cicirelli","sequence":"additional","affiliation":[{"name":"ICAR-CNR\u2014Institute for High Performance Computing and Networking, National Research Council, 87036 Rende, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1011-1885","authenticated-orcid":false,"given":"Andrea","family":"Vinci","sequence":"additional","affiliation":[{"name":"ICAR-CNR\u2014Institute for High Performance Computing and Networking, National Research Council, 87036 Rende, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1469-9484","authenticated-orcid":false,"given":"Antonio","family":"Guerrieri","sequence":"additional","affiliation":[{"name":"ICAR-CNR\u2014Institute for High Performance Computing and Networking, National Research Council, 87036 Rende, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2091-3718","authenticated-orcid":false,"given":"Wen","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4039-891X","authenticated-orcid":false,"given":"Giancarlo","family":"Fortino","sequence":"additional","affiliation":[{"name":"ICAR-CNR\u2014Institute for High Performance Computing and Networking, National Research Council, 87036 Rende, Italy"},{"name":"Department of Computer Engineering, Modeling, Electronics, and Systems, University of Calabria, 87036 Rende, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Siciliano, B., Khatib, O., and Kr\u00f6ger, T. (2008). Springer Handbook of Robotics, Springer.","DOI":"10.1007\/978-3-540-30301-5"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1186\/s12984-021-00845-z","article-title":"State of the art in parallel ankle rehabilitation robot: A systematic review","volume":"18","author":"Dong","year":"2021","journal-title":"J. NeuroEng. Rehabil."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103677","DOI":"10.1016\/j.mechmachtheory.2019.103677","article-title":"Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria","volume":"145","author":"Kashef","year":"2020","journal-title":"Mech. Mach. Theory"},{"key":"ref_4","unstructured":"Niku, S.B. (2020). Introduction to Robotics: Analysis, Control, Applications, John Wiley & Sons."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2547","DOI":"10.1109\/TIM.2007.908231","article-title":"Pseudostereo-vision system: A monocular stereo-vision system as a sensor for real-time robot applications","volume":"56","author":"Pachidis","year":"2007","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"170162","DOI":"10.1016\/j.ijleo.2022.170162","article-title":"Monocular vision with deep neural networks for autonomous mobile robots navigation","volume":"272","author":"Sleaman","year":"2023","journal-title":"Optik"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Huang, H., Li, L., Cheng, H., and Yeung, S.K. (2024, January 17\u201321). Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR52733.2024.02039"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4764","DOI":"10.1109\/TSMC.2023.3257416","article-title":"Convolutional neural network-based robot control for an eye-in-hand camera","volume":"53","author":"Guo","year":"2023","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"108362","DOI":"10.1016\/j.compag.2023.108362","article-title":"Accurate detection and depth estimation of table grapes and peduncles for robot harvesting, combining monocular depth estimation and CNN methods","volume":"215","author":"Grau","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e12716","DOI":"10.1016\/j.heliyon.2022.e12716","article-title":"Two-stage multiple object detection using CNN and correlative filter for accuracy improvement","volume":"9","author":"Kinasih","year":"2023","journal-title":"Heliyon"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"10","DOI":"10.54254\/2755-2721\/78\/20240383","article-title":"Advancements, challenges, and future perspectives in quadruped robots: A survey","volume":"78","author":"Liu","year":"2024","journal-title":"Appl. Comput. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"10822","DOI":"10.3182\/20080706-5-KR-1001.01833","article-title":"Bigdog, the rough-terrain quadruped robot","volume":"41","author":"Raibert","year":"2008","journal-title":"IFAC Proc. Vol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s43154-020-00039-w","article-title":"Cooperative multirobot systems for military applications","volume":"2","author":"Gans","year":"2021","journal-title":"Curr. Robot. Rep."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Murphy, R.R. (2017). Disaster Robotics, MIT Press.","DOI":"10.1007\/978-3-319-32552-1_60"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Doroodgar, B., Ficocelli, M., Mobedi, B., and Nejat, G. (2010, January 3\u20137). The search for survivors: Cooperative human-robot interaction in search and rescue environments using semi-autonomous robots. Proceedings of the 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA.","DOI":"10.1109\/ROBOT.2010.5509530"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Solmaz, S., Innerwinkler, P., W\u00f3jcik, M., Tong, K., Politi, E., Dimitrakopoulos, G., Purucker, P., H\u00f6\u00df, A., Schuller, B.W., and John, R. (2024, January 20\u201321). Robust robotic search and rescue in harsh environments: An example and open challenges. Proceedings of the 2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE), Chemnitz, Germany.","DOI":"10.1109\/ROSE62198.2024.10591144"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"109138","DOI":"10.1016\/j.ress.2023.109138","article-title":"Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN","volume":"234","author":"Bensaci","year":"2023","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Surmann, H., Slomma, D., Grobelny, S., and Grafe, R. (2021, January 25\u201327). Deployment of Aerial Robots after a major fire of an industrial hall with hazardous substances, a report. Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), New York City, NY, USA.","DOI":"10.1109\/SSRR53300.2021.9597677"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s10033-020-00485-9","article-title":"Mechanism, actuation, perception, and control of highly dynamic multilegged robots: A review","volume":"33","author":"He","year":"2020","journal-title":"Chin. J. Mech. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2017","DOI":"10.1016\/j.asej.2020.11.005","article-title":"Development of quadruped walking robots: A review","volume":"12","author":"Biswal","year":"2021","journal-title":"Ain Shams Eng. J."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wang, J., Chen, W., Xiao, X., Xu, Y., Li, C., Jia, X., and Meng, M.Q.H. (2021). A survey of the development of biomimetic intelligence and robotics. Biomim. Intell. Robot., 1.","DOI":"10.1016\/j.birob.2021.100001"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"16878140211009035","DOI":"10.1177\/16878140211009035","article-title":"Design and driving model for the quadruped robot: An elucidating draft","volume":"13","author":"Yao","year":"2021","journal-title":"Adv. Mech. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Chai, H., Li, Y., Song, R., Zhang, G., Zhang, Q., Liu, S., Hou, J., Xin, Y., Yuan, M., and Zhang, G. (2022). A survey of the development of quadruped robots: Joint configuration, dynamic locomotion control method and mobile manipulation approach. Biomim. Intell. Robot., 2.","DOI":"10.1016\/j.birob.2021.100029"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ferreira, J., Moreira, A.P., Silva, M., and Santos, F. (2022, January 29\u201330). A survey on localization, mapping, and trajectory planning for quadruped robots in vineyards. Proceedings of the 2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Santa Maria da Feira, Portugal.","DOI":"10.1109\/ICARSC55462.2022.9784796"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1080\/01691864.2022.2086018","article-title":"Comparative anatomy of quadruped robots and animals: A review","volume":"36","author":"Fukuhara","year":"2022","journal-title":"Adv. Robot."},{"key":"ref_26","first-page":"385","article-title":"Quadruped robots mechanism, structural design, energy, gait, stability, and actuators: A review study","volume":"12","author":"Abdulwahab","year":"2023","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"86645","DOI":"10.1109\/ACCESS.2023.3304992","article-title":"Intelligent Control of Multilegged Robot Smooth Motion: A Review","volume":"11","author":"Zhao","year":"2023","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105448","DOI":"10.1016\/j.mechmachtheory.2023.105448","article-title":"A study on quadruped mobile robots","volume":"190","author":"Taheri","year":"2023","journal-title":"Mech. Mach. Theory"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Majithia, A., Shah, D., Dave, J., Kumar, A., Rathee, S., Dogra, N., HM, V., Chiniwar, D.S., and Hiremath, S. (2024). Design, motions, capabilities, and applications of quadruped robots: A comprehensive review. Front. Mech. Eng., 10.","DOI":"10.3389\/fmech.2024.1448681"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2300633","DOI":"10.1002\/aisy.202300633","article-title":"Accessorizing Quadrupedal Robots with Wearable Electronics","volume":"6","author":"Kim","year":"2024","journal-title":"Adv. Intell. Syst."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e37237","DOI":"10.1016\/j.heliyon.2024.e37237","article-title":"Next generation legged robot locomotion: A review on control techniques","volume":"10","author":"Kotha","year":"2024","journal-title":"Heliyon"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1126\/science.1107799","article-title":"Efficient bipedal robots based on passive-dynamic walkers","volume":"307","author":"Collins","year":"2005","journal-title":"Science"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Coelho, J., Ribeiro, F., Dias, B., Lopes, G., and Flores, P. (2021). Trends in the control of hexapod robots: A survey. Robotics, 10.","DOI":"10.3390\/robotics10030100"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Katz, B., Di Carlo, J., and Kim, S. (2019, January 20\u201324). Mini cheetah: A platform for pushing the limits of dynamic quadruped control. Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8793865"},{"key":"ref_35","unstructured":"Wikipedia Contributors (2024, December 09). Walking Truck. Available online: https:\/\/en.wikipedia.org\/wiki\/Walking_Truck."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/MCS.1986.1105145","article-title":"The adaptive suspension vehicle","volume":"6","author":"Waldron","year":"1986","journal-title":"IEEE Control Syst. Mag."},{"key":"ref_37","first-page":"480","article-title":"Machines can walk","volume":"11","author":"Hutchinson","year":"1967","journal-title":"Chart. Mech. Eng."},{"key":"ref_38","unstructured":"Boston Dynamics (2024, November 18). Spot Robot Specifications. Available online: https:\/\/support.bostondynamics.com\/s\/article\/Spot-Specifications-49916."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"918","DOI":"10.1080\/01691864.2017.1378591","article-title":"Anymal-toward legged robots for harsh environments","volume":"31","author":"Hutter","year":"2017","journal-title":"Adv. Robot."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1109\/TRO.2016.2640183","article-title":"Proprioceptive actuator design in the mit cheetah: Impact mitigation and high-bandwidth physical interaction for dynamic legged robots","volume":"33","author":"Wensing","year":"2017","journal-title":"IEEE Trans. Robot."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Bledt, G., Powell, M.J., Katz, B., Di Carlo, J., Wensing, P.M., and Kim, S. (2018, January 1\u20135). MIT Cheetah 3: Design and Control of a Robust, Dynamic Quadruped Robot. Proceedings of the 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.","DOI":"10.1109\/IROS.2018.8593885"},{"key":"ref_42","first-page":"831","article-title":"Design of HyQ\u2013a hydraulically and electrically actuated quadruped robot","volume":"225","author":"Semini","year":"2011","journal-title":"Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1109\/TMECH.2016.2616284","article-title":"Design of the hydraulically actuated, torque-controlled quadruped robot HyQ2Max","volume":"22","author":"Semini","year":"2016","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1109\/TMECH.2014.2339013","article-title":"Design principles for energy-efficient legged locomotion and implementation on the MIT cheetah robot","volume":"20","author":"Seok","year":"2014","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1177\/02783640122067570","article-title":"RHex: A simple and highly mobile hexapod robot","volume":"20","author":"Saranli","year":"2001","journal-title":"Int. J. Robot. Res."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Alexander, R.M. (2003). Principles of Animal Locomotion, Princeton University Press.","DOI":"10.1515\/9781400849512"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1177\/0278364913489205","article-title":"Towards dynamic trot gait locomotion: Design, control, and experiments with Cheetah-cub, a compliant quadruped robot","volume":"32","author":"Tuleu","year":"2013","journal-title":"Int. J. Robot. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s10846-018-0777-9","article-title":"Hybrid compliance control for locomotion of electrically actuated quadruped robot","volume":"94","author":"Koco","year":"2019","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Ashtiani, M.S., Aghamaleki Sarvestani, A., and Badri-Spr\u00f6witz, A. (2021). Hybrid parallel compliance allows robots to operate with sensorimotor delays and low control frequencies. Front. Robot. AI, 8.","DOI":"10.3389\/frobt.2021.645748"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1038\/s42256-025-00988-x","article-title":"Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity","volume":"7","author":"Stella","year":"2025","journal-title":"Nat. Mach. Intell."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1672-6529(16)60374-8","article-title":"The merits of passive compliant joints in legged locomotion: Fast learning, superior energy efficiency and versatile sensing in a quadruped robot","volume":"14","author":"Hoffmann","year":"2017","journal-title":"J. Bionic Eng."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Hutter, M., Gehring, C., Jud, D., Lauber, A., Bellicoso, C.D., Tsounis, V., Hwangbo, J., Bodie, K., Fankhauser, P., and Bloesch, M. (2016, January 9\u201314). Anymal\u2014a highly mobile and dynamic quadrupedal robot. Proceedings of the 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Republic of Korea.","DOI":"10.1109\/IROS.2016.7758092"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1002\/rob.21566","article-title":"Mobile manipulation and mobility as manipulation\u2014Design and algorithms of RoboSimian","volume":"32","author":"Hebert","year":"2015","journal-title":"J. Field Robot."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.procir.2013.09.037","article-title":"Modelling, construction and manufacture of a lightweight robot arm","volume":"12","author":"Hagenah","year":"2013","journal-title":"Procedia CIRP"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"102844","DOI":"10.1016\/j.rcim.2024.102844","article-title":"An overview on the recent advances in robot-assisted compensation methods used in machining lightweight materials","volume":"91","author":"Pedroso","year":"2025","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Wang, B., and Gao, H. (2021). Fibre reinforced polymer composites. Advances in Machining of Composite Materials: Conventional and Non-Conventional Processes, Springer.","DOI":"10.1007\/978-3-030-71438-3_2"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.mechmachtheory.2018.10.015","article-title":"Optimal design of lightweight serial robots by integrating topology optimization and parametric system optimization","volume":"132","author":"Wang","year":"2019","journal-title":"Mech. Mach. Theory"},{"key":"ref_58","first-page":"103456","article-title":"Development of robot assisted hybrid additive manufacturing technology for the freeform fabrication of lattice structures","volume":"66","author":"Vibrante","year":"2023","journal-title":"Addit. Manuf."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"012108","DOI":"10.1088\/1742-6596\/1299\/1\/012108","article-title":"Design of a joint angle measurement system for the rotary joint of a robotic arm using an Incremental Rotary Encoder","volume":"1299","author":"Oguntosin","year":"2019","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"27238","DOI":"10.1109\/JSEN.2021.3123638","article-title":"Six-axis force\/torque sensors for robotics applications: A review","volume":"21","author":"Cao","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Hughes, J., Stella, F., Santina, C.D., and Rus, D. (2021). Sensing soft robot shape using imus: An experimental investigation. Experimental Robotics: Proceedings of the 17th International Symposium, Springer.","DOI":"10.1007\/978-3-030-71151-1_48"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Cheng, Y., and Wang, G.Y. (2018, January 9\u201311). Mobile robot navigation based on lidar. Proceedings of the 2018 Chinese Control and Decision Conference (CCDC), Shenyang, China.","DOI":"10.1109\/CCDC.2018.8407319"},{"key":"ref_63","first-page":"240","article-title":"Automatic floor cleaning robot using arduino and ultrasonic sensor","volume":"2","author":"Irawan","year":"2021","journal-title":"J. Robot. Control (JRC)"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s43154-021-00065-2","article-title":"Soft tactile sensing skins for robotics","volume":"2","author":"Roberts","year":"2021","journal-title":"Curr. Robot. Rep."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"650","DOI":"10.11591\/eei.v10i2.2734","article-title":"A cost-effective GPS-aided autonomous guided vehicle for global path planning","volume":"10","author":"Akhshirsh","year":"2021","journal-title":"Bull. Electr. Eng. Inform."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Filippini, C., Perpetuini, D., Cardone, D., Chiarelli, A.M., and Merla, A. (2020). Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review. Appl. Sci., 10.","DOI":"10.3390\/app10082924"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Civera, J., G\u00e1lvez-L\u00f3pez, D., Riazuelo, L., Tard\u00f3s, J.D., and Montiel, J.M.M. (2011, January 25\u201330). Towards semantic SLAM using a monocular camera. Proceedings of the 2011 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA.","DOI":"10.1109\/IROS.2011.6048293"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Itu, R., and Danescu, R.G. (2020). A self-calibrating probabilistic framework for 3d environment perception using monocular vision. Sensors, 20.","DOI":"10.3390\/s20051280"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Shu, F., Lesur, P., Xie, Y., Pagani, A., and Stricker, D. (2021, January 5\u20139). SLAM in the field: An evaluation of monocular mapping and localization on challenging dynamic agricultural environment. Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), Virtual Conference.","DOI":"10.1109\/WACV48630.2021.00180"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Gao, B., Lang, H., and Ren, J. (2020, January 11\u201314). Stereo visual SLAM for autonomous vehicles: A review. Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada.","DOI":"10.1109\/SMC42975.2020.9283161"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"18201","DOI":"10.1109\/ACCESS.2022.3149885","article-title":"The STDyn-SLAM: A stereo vision and semantic segmentation approach for VSLAM in dynamic outdoor environments","volume":"10","author":"Esparza","year":"2022","journal-title":"IEEE Access"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Kolhatkar, C., and Wagle, K. (2021). Review of SLAM algorithms for indoor mobile robot with LIDAR and RGB-D camera technology. Innovations in Electrical and Electronic Engineering: Proceedings of the ICEEE 2020, Faridabad, India, 28\u201329 February 2020, Springer.","DOI":"10.1007\/978-981-15-4692-1_30"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"107419","DOI":"10.1016\/j.compag.2022.107419","article-title":"An RGB-D multi-view perspective for autonomous agricultural robots","volume":"202","author":"Vulpi","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"231943","DOI":"10.1016\/j.jpowsour.2022.231943","article-title":"A review of Li-ion batteries for autonomous mobile robots: Perspectives and outlook for the future","volume":"545","author":"McNulty","year":"2022","journal-title":"J. Power Sources"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"102758","DOI":"10.1016\/j.rcim.2024.102758","article-title":"End-of-life electric vehicle battery disassembly enabled by intelligent and human-robot collaboration technologies: A review","volume":"89","author":"Li","year":"2024","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Ghobadpour, A., Cardenas, A., Monsalve, G., and Mousazadeh, H. (2023). Optimal design of energy sources for a photovoltaic\/fuel cell extended-range agricultural mobile robot. Robotics, 12.","DOI":"10.3390\/robotics12010013"},{"key":"ref_77","first-page":"200172","article-title":"Challenges and prospects of automated disassembly of fuel cells for a circular economy","volume":"19","author":"Goes","year":"2023","journal-title":"Resour. Conserv. Recycl. Adv."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/j.ijhydene.2023.12.043","article-title":"Design, development, integration and evaluation of hybrid fuel cell power systems for an unmanned water surface vehicle","volume":"54","author":"Renau","year":"2024","journal-title":"Int. J. Hydrogen Energy"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Miko\u0142ajczyk, T., Miko\u0142ajewski, D., K\u0142odowski, A., \u0141ukaszewicz, A., Miko\u0142ajewska, E., Paczkowski, T., Macko, M., and Skornia, M. (2023). Energy sources of mobile robot power systems: A systematic review and comparison of efficiency. Appl. Sci., 13.","DOI":"10.20944\/preprints202304.0578.v1"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"104285","DOI":"10.1016\/j.robot.2022.104285","article-title":"Power solutions for autonomous mobile robots: A survey","volume":"159","author":"Farooq","year":"2023","journal-title":"Robot. Auton. Syst."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"2200045","DOI":"10.1002\/aisy.202200045","article-title":"Next-Generation Energy Harvesting and Storage Technologies for Robots Across All Scales","volume":"5","author":"Liang","year":"2023","journal-title":"Adv. Intell. Syst."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Hang, P., Lou, B., and Lv, C. (2022). Nonlinear predictive motion control for autonomous mobile robots considering active fault-tolerant control and regenerative braking. Sensors, 22.","DOI":"10.3390\/s22103939"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"879","DOI":"10.20965\/jrm.2024.p0879","article-title":"Development of Driving Robot and Driver Model Applied Regenerative Brake Control of Electrified Vehicles","volume":"36","author":"Okui","year":"2024","journal-title":"J. Robot. Mechatron."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.cogr.2023.05.003","article-title":"Optimization of energy consumption in industrial robots, a review","volume":"3","author":"Soori","year":"2023","journal-title":"Cogn. Robot."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"115622","DOI":"10.1016\/j.measurement.2024.115622","article-title":"Locomotion trajectory optimization for quadruped robots with kinematic parameter calibration and compensation","volume":"240","author":"Lin","year":"2025","journal-title":"Measurement"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.neunet.2020.05.029","article-title":"Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning","volume":"129","author":"Bing","year":"2020","journal-title":"Neural Netw."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Fukuoka, Y., Fukino, K., Habu, Y., and Mori, Y. (2015). Energy evaluation of a bio-inspired gait modulation method for quadrupedal locomotion. Bioinspir. Biomim., 10.","DOI":"10.1088\/1748-3190\/10\/4\/046017"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1177\/0278364920918014","article-title":"Dynamic locomotion for passive-ankle biped robots and humanoids using whole-body locomotion control","volume":"39","author":"Kim","year":"2020","journal-title":"Int. J. Robot. Res."},{"key":"ref_89","first-page":"193","article-title":"Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions","volume":"3","author":"Stetsenko","year":"2023","journal-title":"Multidiscip. J. Sci. Technol."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"119041","DOI":"10.1016\/j.enconman.2024.119041","article-title":"Application and progress of high-efficiency electro-hydrostatic actuator technology with energy recovery: A comprehensive review","volume":"321","author":"Du","year":"2024","journal-title":"Energy Convers. Manag."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"eadj7246","DOI":"10.1126\/scirobotics.adj7246","article-title":"Elastic energy-recycling actuators for efficient robots","volume":"9","author":"Krimsky","year":"2024","journal-title":"Sci. Robot."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1146\/annurev-control-053018-023834","article-title":"Modular reconfigurable robotics","volume":"2","author":"Seo","year":"2019","journal-title":"Annu. Rev. Control. Robot. Auton. Syst."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.actaastro.2021.09.007","article-title":"Modularity for the future in space robotics: A review","volume":"189","author":"Post","year":"2021","journal-title":"Acta Astronaut."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1002\/rob.10118","article-title":"Design of statically stable walking robot: A review","volume":"20","author":"Kar","year":"2003","journal-title":"J. Robot. Syst."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Gong, Y., Sun, G., Nair, A., Bidwai, A., CS, R., Grezmak, J., Sartoretti, G., and Daltorio, K.A. (2023). Legged robots for object manipulation: A review. Front. Mech. Eng., 9.","DOI":"10.3389\/fmech.2023.1142421"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"107372","DOI":"10.1016\/j.compeleceng.2021.107372","article-title":"A survey on 5G\/6G, AI, and Robotics","volume":"95","author":"Qiao","year":"2021","journal-title":"Comput. Electr. Eng."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Tardioli, D. (2014, January 14\u201315). A wireless communication protocol for distributed robotics applications. Proceedings of the 2014 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Espinho, Portugal.","DOI":"10.1109\/ICARSC.2014.6849795"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MRA.2010.936956","article-title":"Sharing software with ros [ros topics]","volume":"17","author":"Cousins","year":"2010","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"128451","DOI":"10.1109\/ACCESS.2023.3330441","article-title":"Implementation and Performance Study of the Micro-ROS\/ROS2 Framework to algorithm design for attitude determination and control system","volume":"11","author":"Yanyachi","year":"2023","journal-title":"IEEE Access"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s10846-022-01799-7","article-title":"An intelligent thermal management fuzzy logic control system design and analysis using ANSYS fluent for a mobile robotic platform in extreme weather applications","volume":"107","author":"Afaq","year":"2023","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"10457","DOI":"10.15282\/ijame.20.2.2023.10.0808","article-title":"A systematic review of emergency braking assistant system to avoid accidents using pulse width modulation and fuzzy logic control integrated with antilock braking","volume":"20","author":"Gunjate","year":"2023","journal-title":"Int. J. Automot. Mech. Eng."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Zhang, J., and Singh, S. (2014, January 12\u201316). LOAM: Lidar odometry and mapping in real-time. Proceedings of the Robotics: Science and Systems, Berkeley, CA, USA.","DOI":"10.15607\/RSS.2014.X.007"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","article-title":"ORB-SLAM: A versatile and accurate monocular SLAM system","volume":"31","author":"Montiel","year":"2015","journal-title":"IEEE Trans. Robot."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1109\/TRO.2013.2279412","article-title":"3-D mapping with an RGB-D camera","volume":"30","author":"Endres","year":"2013","journal-title":"IEEE Trans. Robot."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/MITS.2010.939925","article-title":"A tutorial on graph-based SLAM","volume":"2","author":"Grisetti","year":"2010","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"22119","DOI":"10.1109\/JSEN.2023.3306371","article-title":"Visual SLAM integration with semantic segmentation and deep learning: A review","volume":"23","author":"Pu","year":"2023","journal-title":"IEEE Sens. J."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1109\/LRA.2019.2895390","article-title":"Where should i walk? predicting terrain properties from images via self-supervised learning","volume":"4","author":"Wellhausen","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.jterra.2020.12.002","article-title":"Recurrent and convolutional neural networks for deep terrain classification by autonomous robots","volume":"96","author":"Vulpi","year":"2021","journal-title":"J. Terramech."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1177\/0278364917727062","article-title":"Deep spatiotemporal models for robust proprioceptive terrain classification","volume":"36","author":"Valada","year":"2017","journal-title":"Int. J. Robot. Res."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., and Farhadi, A. (2016, January 27\u201330). You Only Look Once: Unified, Real-Time Object Detection. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., and Davison, A. (2011, January 16\u201319). KinectFusion: Real-time 3D reconstruction and interaction using a moving depth camera. Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology (UIST), Santa Barbara, CA, USA.","DOI":"10.1145\/2047196.2047270"},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., and Darrell, T. (2015, January 7\u201312). Fully convolutional networks for semantic segmentation. Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","article-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","volume":"39","author":"Badrinarayanan","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Khattak, S., Nguyen, H., Mascarich, F., Dang, T., and Alexis, K. (2020, January 1\u20134). Complementary multi\u2013modal sensor fusion for resilient robot pose estimation in subterranean environments. Proceedings of the 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece.","DOI":"10.1109\/ICUAS48674.2020.9213865"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1109\/TITS.2020.2972974","article-title":"Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges","volume":"22","author":"Feng","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_116","unstructured":"Borenstein, J., Everett, H., and Feng, L. (1996). Navigating Mobile Robots: Systems and Techniques, AK Peters, Ltd."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1109\/TSSC.1968.300136","article-title":"A formal basis for the heuristic determination of minimum cost paths","volume":"4","author":"Hart","year":"1968","journal-title":"IEEE Trans. Syst. Sci. Cybern."},{"key":"ref_118","unstructured":"LaValle, S.M. (1998). Rapidly-Exploring Random Trees: A New Tool for Path Planning, Department of Computer Science, Iowa State University. Technical Report TR 98-11."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1177\/0278364911406761","article-title":"Sampling-based algorithms for optimal motion planning","volume":"30","author":"Karaman","year":"2011","journal-title":"Int. J. Robot. Res."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/100.580977","article-title":"The dynamic window approach to collision avoidance","volume":"4","author":"Fox","year":"1997","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/70.508439","article-title":"Probabilistic roadmaps for path planning in high-dimensional configuration spaces","volume":"12","author":"Kavraki","year":"1996","journal-title":"IEEE Trans. Robot. Autom."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"74","DOI":"10.5898\/JHRI.3.2.Beer","article-title":"Toward a framework for levels of robot autonomy in human-robot interaction","volume":"3","author":"Beer","year":"2014","journal-title":"J. Hum.-Robot Interact."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1016\/j.robot.2010.07.002","article-title":"A survey of tactile human\u2013robot interactions","volume":"58","author":"Argall","year":"2010","journal-title":"Robot. Auton. Syst."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1561\/2300000052","article-title":"A survey of methods for safe human-robot interaction","volume":"5","author":"Lasota","year":"2017","journal-title":"Found. Trends\u00ae Robot."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1177\/09544054221121888","article-title":"Applications of affective computing in human-robot interaction: State-of-art and challenges for manufacturing","volume":"237","author":"Gervasi","year":"2023","journal-title":"Proc. Inst. Mech. Eng. Part B J. Eng. Manuf."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1177\/0278364913495721","article-title":"Reinforcement learning in robotics: A survey","volume":"32","author":"Kober","year":"2013","journal-title":"Int. J. Robot. Res."},{"key":"ref_127","unstructured":"Sutton, R.S., and Barto, A.G. (2018). Reinforcement Learning: An Introduction, MIT Press."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1145\/3065386","article-title":"ImageNet classification with deep convolutional neural networks","volume":"60","author":"Krizhevsky","year":"2017","journal-title":"Commun. ACM"},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","article-title":"Representation learning: A review and new perspectives","volume":"35","author":"Bengio","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_130","unstructured":"Kingma, D.P. (2013). Auto-encoding variational bayes. arXiv."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/MRA.2006.1678144","article-title":"Simultaneous localization and mapping: Part I","volume":"13","author":"Bailey","year":"2006","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"104032","DOI":"10.1016\/j.engappai.2020.104032","article-title":"SLAM; definition and evolution","volume":"97","author":"Taheri","year":"2021","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1109\/LRA.2023.3333742","article-title":"Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems","volume":"9","author":"Lajoie","year":"2023","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/978-3-319-60916-4_11","article-title":"Slip detection and recovery for quadruped robots","volume":"2","author":"Focchi","year":"2018","journal-title":"Robot. Res."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1177\/0278364913519834","article-title":"Quadrupedal locomotion using hierarchical operational space control","volume":"33","author":"Hutter","year":"2014","journal-title":"Int. J. Robot. Res."},{"key":"ref_136","unstructured":"Bellicoso, C.D., Jenelten, F., Fankhauser, P., Gehring, C., Hwangbo, J., and Hutter, M. (2017, January 24\u201328). Dynamic locomotion and whole-body control for quadrupedal robots. Proceedings of the 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada."},{"key":"ref_137","unstructured":"Mattamala Aravena, M. (2023). Vision-Based Legged Robot Navigation: Localisation, Local Planning, Learning. [Ph.D. Thesis, University of Oxford]."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"7013","DOI":"10.1007\/s11760-024-03370-3","article-title":"Faster R-CNN based on frame difference and spatiotemporal context for vehicle detection","volume":"18","author":"Zhang","year":"2024","journal-title":"Signal Image Video Process."},{"key":"ref_139","first-page":"84","article-title":"Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments","volume":"13","author":"Sapkota","year":"2024","journal-title":"Artif. Intell. Agric."},{"key":"ref_140","first-page":"101139","article-title":"Framework for fish freshness detection and rotten fish removal in Bangladesh using mask R\u2013CNN method with robotic arm and fisheye analysis","volume":"16","author":"Hasan","year":"2024","journal-title":"J. Agric. Food Res."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"2450001","DOI":"10.1142\/S0219467824500013","article-title":"3D vision using multiple structured light-based kinect depth cameras","volume":"24","author":"Kamble","year":"2024","journal-title":"Int. J. Image Graph."},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Troncoso, J.M.R., and Correa, A.C. (2024, January 17\u201319). 3D Reconstruction of Cultural Heritage Pieces Using Depth Sensors. Proceedings of the 2024 XXIV Symposium of Image, Signal Processing, and Artificial Vision (STSIVA), Pamplona, Colombia.","DOI":"10.1109\/STSIVA63281.2024.10637858"},{"key":"ref_143","doi-asserted-by":"crossref","unstructured":"Corradi, T., Hall, P., and Iravani, P. (2017). Object recognition combining vision and touch. Robot. Biomim., 4.","DOI":"10.1186\/s40638-017-0058-2"},{"key":"ref_144","doi-asserted-by":"crossref","unstructured":"Yang, F., Feng, C., Chen, Z., Park, H., Wang, D., Dou, Y., Zeng, Z., Chen, X., Gangopadhyay, R., and Owens, A. (2024, January 17\u201321). Binding touch to everything: Learning unified multimodal tactile representations. Proceedings of the 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR52733.2024.02488"},{"key":"ref_145","doi-asserted-by":"crossref","unstructured":"Dang, T.V., and Bui, N.T. (2023). Multi-scale fully convolutional network-based semantic segmentation for mobile robot navigation. Electronics, 12.","DOI":"10.3390\/electronics12030533"},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"224","DOI":"10.54097\/rfa5x119","article-title":"SegNet Network Architecture for Deep Learning Image Segmentation and Its Integrated Applications and Prospects","volume":"9","author":"Zhang","year":"2024","journal-title":"Acad. J. Sci. Technol."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1017\/S0263574722001576","article-title":"A hydraulic actuator for joint robots with higher torque to weight ratio","volume":"41","author":"Li","year":"2023","journal-title":"Robotica"},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1109\/LRA.2023.3335777","article-title":"Learning whole-body manipulation for quadrupedal robot","volume":"9","author":"Jeon","year":"2023","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_149","doi-asserted-by":"crossref","unstructured":"Hogan, N. (1984, January 6\u20138). Impedance control: An approach to manipulation. Proceedings of the 1984 American Control Conference (ACC), San Diego, CA, USA.","DOI":"10.23919\/ACC.1984.4788393"},{"key":"ref_150","unstructured":"Shin, D., Sardellitti, I., and Khatib, O. (2008, January 19\u201323). A hybrid actuation approach for human-friendly robot design. Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, USA."},{"key":"ref_151","unstructured":"Dills, P. (2024). Hybrid Actuation in Haptics and Human-Friendly Robotics. [Ph.D. Thesis, The University of Wisconsin-Madison]."},{"key":"ref_152","first-page":"1","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"Levine","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref_153","doi-asserted-by":"crossref","unstructured":"Lin, H., Li, B., Chu, X., Dou, Q., Liu, Y., and Au, K.W.S. (2023, January 1\u20135). End-to-end learning of deep visuomotor policy for needle picking. Proceedings of the 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA.","DOI":"10.1109\/IROS55552.2023.10342194"},{"key":"ref_154","doi-asserted-by":"crossref","unstructured":"Sadeghi, F., and Levine, S. (2016). Cad2rl: Real single-image flight without a single real image. arXiv.","DOI":"10.15607\/RSS.2017.XIII.034"},{"key":"ref_155","doi-asserted-by":"crossref","unstructured":"Kolter, J.Z., Rodgers, M.P., and Ng, A.Y. (2008, January 19\u201323). A control architecture for quadruped locomotion over rough terrain. Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, USA.","DOI":"10.1109\/ROBOT.2008.4543305"},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.1002\/rob.21964","article-title":"Towards autonomous inspection of concrete deterioration in sewers with legged robots","volume":"37","author":"Kolvenbach","year":"2020","journal-title":"J. Field Robot."},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"LaValle, S.M. (2006). Planning Algorithms, Cambridge University Press.","DOI":"10.1017\/CBO9780511546877"},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1146\/annurev-control-061623-094742","article-title":"Sampling-based motion planning: A comparative review","volume":"7","author":"Orthey","year":"2023","journal-title":"Annu. Rev. Control. Robot. Auton. Syst."},{"key":"ref_159","unstructured":"Brock, O., and Khatib, O. (1999, January 10\u201315). High-speed navigation using the global dynamic window approach. Proceedings of the Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No. 99CH36288C), Detroit, MI, USA."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"17018","DOI":"10.1109\/ACCESS.2022.3150036","article-title":"Local path planning: Dynamic window approach with virtual manipulators considering dynamic obstacles","volume":"10","author":"Kobayashi","year":"2022","journal-title":"IEEE Access"},{"key":"ref_161","doi-asserted-by":"crossref","first-page":"3068","DOI":"10.1109\/TRO.2024.3400932","article-title":"Dynamic Adaptive Dynamic Window Approach","volume":"40","author":"Dobrevski","year":"2024","journal-title":"IEEE Trans. Robot."},{"key":"ref_162","first-page":"3421","article-title":"Global path planning and local obstacle avoidance of searching robot in mine disasters based on grid method","volume":"42","author":"Zhu","year":"2011","journal-title":"J. Cent. South Univ. Sci. Technol."},{"key":"ref_163","first-page":"1","article-title":"Obstacle avoidance motion in mobile robotics","volume":"36","author":"Tang","year":"2024","journal-title":"J. Syst. Simul."},{"key":"ref_164","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Higueras, N., Caballero, F., and Merino, L. (2018, January 21\u201325). Learning human-aware path planning with fully convolutional networks. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia.","DOI":"10.1109\/ICRA.2018.8460851"},{"key":"ref_165","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1561\/1100000005","article-title":"Human\u2013robot interaction: A survey","volume":"1","author":"Goodrich","year":"2008","journal-title":"Found. Trends\u00ae Hum.-Interact."},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0921-8890(02)00372-X","article-title":"A survey of socially interactive robots","volume":"42","author":"Fong","year":"2003","journal-title":"Robot. Auton. Syst."},{"key":"ref_167","doi-asserted-by":"crossref","unstructured":"Mutlu, B., Shiwa, T., Kanda, T., Ishiguro, H., and Hagita, N. (2009, January 9\u201313). Footing in human-robot conversations: How robots might shape participant roles using gaze cues. Proceedings of the 4th ACM\/IEEE International Conference on Human Robot Interaction, New York, NY, USA. HRI \u201909.","DOI":"10.1145\/1514095.1514109"},{"key":"ref_168","unstructured":"Breazeal, C. (2004). Designing Sociable Robots, MIT Press."},{"key":"ref_169","doi-asserted-by":"crossref","unstructured":"Dragan, A.D., Lee, K.C., and Srinivasa, S.S. (2013, January 4\u20136). Legibility and predictability of robot motion. Proceedings of the 2013 8th ACM\/IEEE International Conference on Human-Robot Interaction (HRI), Tokyo, Japan.","DOI":"10.1109\/HRI.2013.6483603"},{"key":"ref_170","unstructured":"Clark, H.H. (1996). Using Language, Cambridge University Press."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/MRA.2004.1337826","article-title":"Trial by fire [rescue robots]","volume":"11","author":"Murphy","year":"2004","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_172","doi-asserted-by":"crossref","unstructured":"Tellex, S., Kollar, T., Dickerson, S., Walter, M., Banerjee, A., Teller, S., and Roy, N. (2011, January 7\u201311). Understanding natural language commands for robotic navigation and mobile manipulation. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, USA.","DOI":"10.1609\/aaai.v25i1.7979"},{"key":"ref_173","doi-asserted-by":"crossref","unstructured":"Chandrasekaran, B., and Conrad, J.M. (2015, January 9\u201312). Human-robot collaboration: A survey. Proceedings of the IEEE SoutheastCon 2015, Fort Lauderdale, FL, USA.","DOI":"10.1109\/SECON.2015.7132964"},{"key":"ref_174","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.inffus.2018.08.001","article-title":"Emotion-relevant activity recognition based on smart cushion using multi-sensor fusion","volume":"48","author":"Gravina","year":"2019","journal-title":"Inf. Fusion"},{"key":"ref_175","doi-asserted-by":"crossref","unstructured":"Li, Q., Gravina, R., and Fortino, G. (2018, January 7\u201310). Posture and gesture analysis supporting emotional activity recognition. Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan.","DOI":"10.1109\/SMC.2018.00468"},{"key":"ref_176","unstructured":"Feil-Seifer, D., and Mataric, M.J. (July, January 28). Defining socially assistive robotics. Proceedings of the 9th IEEE International Conference on Rehabilitation Robotics (ICORR 2005), Chicago, IL, USA."},{"key":"ref_177","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1177\/0018720816644364","article-title":"Human\u2013robot interaction: Status and challenges","volume":"58","author":"Sheridan","year":"2016","journal-title":"Hum. Factors"},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s40313-013-0040-3","article-title":"Human\u2013robot interaction and cooperation through people detection and gesture recognition","volume":"24","author":"Pereira","year":"2013","journal-title":"J. Control Autom. Electr. Syst."},{"key":"ref_179","doi-asserted-by":"crossref","first-page":"104667","DOI":"10.1016\/j.ssci.2020.104667","article-title":"Safety bounds in human robot interaction: A survey","volume":"127","author":"Zacharaki","year":"2020","journal-title":"Saf. Sci."},{"key":"ref_180","doi-asserted-by":"crossref","first-page":"2235","DOI":"10.1007\/s10845-023-02159-4","article-title":"Safe human\u2013robot collaboration for industrial settings: A survey","volume":"35","author":"Li","year":"2024","journal-title":"J. Intell. Manuf."},{"key":"ref_181","unstructured":"(2014). Robots and Robotic Devices\u2014Safety Requirements for Personal Care Robots (Standard No. ISO 13482:2014)."},{"key":"ref_182","unstructured":"Yu, B., Kasaei, H., and Cao, M. (2024). PANav: Toward Privacy-Aware Robot Navigation via Vision-Language Models. arXiv."},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1007\/s00146-022-01525-9","article-title":"Understanding user sensemaking in fairness and transparency in algorithms: Algorithmic sensemaking in over-the-top platform","volume":"39","author":"Shin","year":"2024","journal-title":"AI Soc."},{"key":"ref_184","doi-asserted-by":"crossref","unstructured":"Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T., Keijsers, M., and \u0160abanovi\u0107, S. (2024). Human-Robot Interaction: An Introduction, Cambridge University Press.","DOI":"10.1017\/9781009424202"},{"key":"ref_185","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ref_186","unstructured":"Kohl, N., and Stone, P. (May, January 26). Policy gradient reinforcement learning for fast quadrupedal locomotion. Proceedings of the 2004 IEEE International Conference on Robotics and Automation (ICRA), New Orleans, LA, USA."},{"key":"ref_187","doi-asserted-by":"crossref","first-page":"eaau5872","DOI":"10.1126\/scirobotics.aau5872","article-title":"Learning agile and dynamic motor skills for legged robots","volume":"4","author":"Hwangbo","year":"2019","journal-title":"Sci. Robot."},{"key":"ref_188","unstructured":"Hoffman, J., Tzeng, E., Park, T., Zhu, J.Y., Isola, P., Saenko, K., Efros, A., and Darrell, T. (2018, January 10\u201315). CyCADA: Cycle-consistent adversarial domain adaptation. Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden."},{"key":"ref_189","first-page":"1437","article-title":"A comprehensive survey on safe reinforcement learning","volume":"16","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref_190","doi-asserted-by":"crossref","first-page":"3861","DOI":"10.1109\/TAC.2016.2638961","article-title":"Control barrier function based quadratic programs for safety critical systems","volume":"62","author":"Ames","year":"2016","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_191","doi-asserted-by":"crossref","unstructured":"Shi, G., Shi, X., O\u2019Connell, M., Yu, R., Azizzadenesheli, K., Anandkumar, A., Yue, Y., and Chung, S.J. (2019, January 20\u201324). Neural Lander: Stable drone landing control using learned dynamics. Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8794351"},{"key":"ref_192","doi-asserted-by":"crossref","unstructured":"Ivanov, R., Weimer, J., Alur, R., Pappas, G.J., and Lee, I. (2019, January 16\u201318). Verisig: Verifying safety properties of hybrid systems with neural network controllers. Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control (HSCC 2019), Montreal, QC, Canada.","DOI":"10.1145\/3302504.3311806"},{"key":"ref_193","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1177\/02783649211050958","article-title":"Physical interaction as communication: Learning robot objectives online from human corrections","volume":"41","author":"Losey","year":"2022","journal-title":"Int. J. Robot. Res."},{"key":"ref_194","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"Pan","year":"2009","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_195","doi-asserted-by":"crossref","unstructured":"Tan, J., Zhang, T., Coumans, E., Iscen, A., Bai, Y., Hafner, D., Bohez, S., and Vanhoucke, V. (2018). Sim-to-real: Learning agile locomotion for quadruped robots. arXiv.","DOI":"10.15607\/RSS.2018.XIV.010"},{"key":"ref_196","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1109\/TRO.2011.2159412","article-title":"Learning stable nonlinear dynamical systems with gaussian mixture models","volume":"27","author":"Billard","year":"2011","journal-title":"IEEE Trans. Robot."},{"key":"ref_197","doi-asserted-by":"crossref","unstructured":"Yoo, Y., Lee, C.Y., and Zhang, B.T. (June, January 30). Multimodal anomaly detection based on deep auto-encoder for object slip perception of mobile manipulation robots. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi\u2019an, China.","DOI":"10.1109\/ICRA48506.2021.9561586"},{"key":"ref_198","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1126\/science.1145803","article-title":"Self-organization, embodiment, and biologically inspired robotics","volume":"318","author":"Pfeifer","year":"2007","journal-title":"Science"},{"key":"ref_199","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1016\/j.neunet.2008.03.014","article-title":"Central pattern generators for locomotion control in animals and robots: A review","volume":"21","author":"Ijspeert","year":"2008","journal-title":"Neural Netw."},{"key":"ref_200","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.paerosci.2017.04.003","article-title":"Classifications, applications, and design challenges of drones: A review","volume":"91","author":"Hassanalian","year":"2017","journal-title":"Prog. Aerosp. Sci."},{"key":"ref_201","doi-asserted-by":"crossref","unstructured":"Gehring, C., Fankhauser, P., Isler, L., Diethelm, R., Bachmann, S., Potz, M., Gerstenberg, L., and Hutter, M. (2021). ANYmal in the field: Solving industrial inspection of an offshore HVDC platform with a quadrupedal robot. Field and Service Robotics: Proceedings of the Results of the 12th International Conference, Springer.","DOI":"10.1007\/978-981-15-9460-1_18"},{"key":"ref_202","doi-asserted-by":"crossref","first-page":"1810","DOI":"10.1016\/j.egypro.2014.03.192","article-title":"MAINBOT\u2013mobile robots for inspection and maintenance in extensive industrial plants","volume":"49","author":"Maurtua","year":"2014","journal-title":"Energy Procedia"},{"key":"ref_203","first-page":"1023","article-title":"Robotics applications in maintenance and repair","volume":"2","author":"Parker","year":"1998","journal-title":"Handb. Ind. Robot."},{"key":"ref_204","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.cogr.2021.06.001","article-title":"Substantial capabilities of robotics in enhancing industry 4.0 implementation","volume":"1","author":"Javaid","year":"2021","journal-title":"Cogn. Robot."},{"key":"ref_205","first-page":"1","article-title":"Agricultural robots: Technology progress, challenges and trends","volume":"5","author":"Zhao","year":"2023","journal-title":"Smart Agric."},{"key":"ref_206","unstructured":"Rodr\u00edguez-Lera, F.J., Gonz\u00e1lez-Santamarta, M.A., Orden, J.M.G., Fern\u00e1ndez-Llamas, C., Matell\u00e1n-Olivera, V., and S\u00e1nchez-Gonz\u00e1lez, L. (2024). Lessons Learned in Quadruped Deployment in Livestock Farming. arXiv."},{"key":"ref_207","doi-asserted-by":"crossref","unstructured":"Kiti\u0107, G., Krklje\u0161, D., Pani\u0107, M., Petes, C., Birgermajer, S., and Crnojevi\u0107, V. (2022). Agrobot Lala\u2014an autonomous robotic system for real-time, in-field soil sampling, and analysis of nitrates. Sensors, 22.","DOI":"10.3390\/s22114207"},{"key":"ref_208","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1057\/s42984-021-00037-y","article-title":"See Spot save lives: Fear, humanitarianism, and war in the development of robot quadrupeds","volume":"2","author":"Moses","year":"2021","journal-title":"Digit. War"},{"key":"ref_209","doi-asserted-by":"crossref","unstructured":"Niemel\u00e4, M., Arvola, A., and Aaltonen, I. (2017, January 6\u20139). Monitoring the acceptance of a social service robot in a shopping mall: First results. Proceedings of the Companion of the 2017 ACM\/IEEE International Conference on Human-Robot Interaction (HRI 2017), Vienna, Austria.","DOI":"10.1145\/3029798.3038333"},{"key":"ref_210","doi-asserted-by":"crossref","unstructured":"Niemel\u00e4, M., Heikkil\u00e4, P., Lammi, H., and Oksman, V. (2019). A social robot in a shopping mall: Studies on acceptance and stakeholder expectations. Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction, Springer.","DOI":"10.1007\/978-3-030-17107-0_7"},{"key":"ref_211","doi-asserted-by":"crossref","first-page":"03064190241263575","DOI":"10.1177\/03064190241263575","article-title":"OpenMutt: A reconfigurable quadruped robot for research and education","volume":"52","author":"Garcia","year":"2024","journal-title":"Int. J. Mech. Eng. Educ."},{"key":"ref_212","doi-asserted-by":"crossref","unstructured":"Ayd\u0131nocak, E.U. (2023). Robotics Systems and Healthcare Logistics. Health 4.0 and Medical Supply Chain, Springer.","DOI":"10.1007\/978-981-99-1818-8_7"},{"key":"ref_213","doi-asserted-by":"crossref","first-page":"8","DOI":"10.26634\/javr.2.1.21128","article-title":"Autonomous Robots for Hospital Logistics and Patient Care: An Effective Way for Elderly Care and Monitoring","volume":"2","author":"Yadav","year":"2024","journal-title":"I-Manag. J. Augment. Virtual Real. (JAVR)"},{"key":"ref_214","doi-asserted-by":"crossref","unstructured":"Banyai, A.D., and Bri\u0219an, C. (2024). Robotics in physical rehabilitation: Systematic Review. Healthcare, 12.","DOI":"10.20944\/preprints202406.2007.v1"},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/MRA.2020.3044953","article-title":"A robotic health-care assistant for COVID-19 emergency: A proposed solution for logistics and disinfection in a hospital environment","volume":"28","author":"Tamantini","year":"2021","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_216","doi-asserted-by":"crossref","unstructured":"Cai, S., Ram, A., Gou, Z., Shaikh, M.A.W., Chen, Y.A., Wan, Y., Hara, K., Zhao, S., and Hsu, D. (2024, January 11\u201316). Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI \u201924), Honolulu, HI, USA.","DOI":"10.1145\/3613904.3642227"},{"key":"ref_217","doi-asserted-by":"crossref","unstructured":"Bendel, O. (2022). Passive, active, and proactive systems and machines for the protection and preservation of animals and animal species. Front. Anim. Sci., 3.","DOI":"10.3389\/fanim.2022.834634"},{"key":"ref_218","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MRA.2011.2181683","article-title":"Robots for environmental monitoring: Significant advancements and applications","volume":"19","author":"Dunbabin","year":"2012","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_219","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1108\/IR-12-2022-0316","article-title":"The role of robots in environmental monitoring","volume":"50","author":"Bogue","year":"2023","journal-title":"Ind. Robot. Int. J. Robot. Res. Appl."},{"key":"ref_220","doi-asserted-by":"crossref","unstructured":"Rossander, M., and Lideskog, H. (2023). Design and implementation of a control system for an autonomous reforestation machine using finite state machines. Forests, 14.","DOI":"10.3390\/f14071340"},{"key":"ref_221","doi-asserted-by":"crossref","unstructured":"de Soto, B.G., and Skibniewski, M.J. (2020). Future of robotics and automation in construction. Construction 4.0, Routledge.","DOI":"10.1201\/9780429398100-15"},{"key":"ref_222","doi-asserted-by":"crossref","first-page":"100989","DOI":"10.1016\/j.aei.2019.100989","article-title":"Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review","volume":"42","author":"Cai","year":"2019","journal-title":"Adv. Eng. Inform."},{"key":"ref_223","unstructured":"Xia, P., Xu, F., and Du, J. (2021). Comparison of 3D SLAM for Quadrupedal Robot-Based Scanning. Computing in Civil Engineering, ASCE."},{"key":"ref_224","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1109\/TII.2020.3002197","article-title":"Utilizing industry 4.0 on the construction site: Challenges and opportunities","volume":"17","author":"Turner","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_225","doi-asserted-by":"crossref","unstructured":"Zimroz, R., Hutter, M., Mistry, M., Stefaniak, P., Walas, K., and Wodecki, J. (2019). Why should inspection robots be used in deep underground mines?. Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection-MPES 2018, Springer.","DOI":"10.1007\/978-3-319-99220-4_42"},{"key":"ref_226","doi-asserted-by":"crossref","unstructured":"Ramirez, J., Segovia, A., Escobar, M., Quiroz, D., and Cuellar, F. (2021, January 23\u201326). Practical Applications of a Vision-based Robot for Security and Safety of Tailings Tunnels Infrastructure in the Mining Industry. Proceedings of the 2021 7th International Conference on Control, Automation and Robotics (ICCAR 2021), Singapore (Virtual Conference).","DOI":"10.1109\/ICCAR52225.2021.9463440"},{"key":"ref_227","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.proeps.2015.06.045","article-title":"Mine rescue robot system\u2013a review","volume":"11","author":"Reddy","year":"2015","journal-title":"Procedia Earth Planet. Sci."},{"key":"ref_228","doi-asserted-by":"crossref","first-page":"99","DOI":"10.5194\/adgeo-54-99-2020","article-title":"ROBOMINERS\u2013Developing a bio-inspired modular robot-miner for difficult to access mineral deposits","volume":"54","author":"Lopes","year":"2020","journal-title":"Adv. Geosci."},{"key":"ref_229","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1017\/S0263574719000754","article-title":"Autonomous area exploration and mapping in underground mine environments by unmanned aerial vehicles","volume":"38","author":"Li","year":"2020","journal-title":"Robotica"},{"key":"ref_230","unstructured":"Kolvenbach, H. (2021). Quadrupedal Robots for Planetary Exploration. [Ph.D. Thesis, ETH Zurich]."},{"key":"ref_231","doi-asserted-by":"crossref","first-page":"110","DOI":"10.5772\/58733","article-title":"Distributed computation in a quadrupedal robotic system","volume":"11","author":"Kuehn","year":"2014","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_232","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1007\/s11431-013-5443-7","article-title":"A review of heavy-duty legged robots","volume":"57","author":"Zhuang","year":"2014","journal-title":"Sci. China Technol. Sci."},{"key":"ref_233","doi-asserted-by":"crossref","unstructured":"Kaufmann, M., Vaquero, T.S., Correa, G.J., Otstr, K., Ginting, M.F., Beltrame, G., and Agha-Mohammadi, A.A. (2021, January 6\u201313). Copilot MIKE: An Autonomous Assistant for Multi-Robot Operations in Cave Exploration. Proceedings of the 2021 IEEE Aerospace Conference (50100), Big Sky, MT, USA.","DOI":"10.1109\/AERO50100.2021.9438530"},{"key":"ref_234","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s10846-020-01180-6","article-title":"Experimental validation of HeritageBot III, a robotic platform for cultural heritage","volume":"100","author":"Cafolla","year":"2020","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_235","doi-asserted-by":"crossref","unstructured":"Lupetti, M.L., Germak, C., and Giuliano, L. (2015, January 7\u20139). Robots and cultural heritage: New museum experiences. Proceedings of the Electronic Visualisation and the Arts (EVA 2015), London, UK.","DOI":"10.14236\/ewic\/eva2015.36"},{"key":"ref_236","first-page":"47","article-title":"An overview on robotic applications for cultural heritage and built cultural heritage","volume":"9","author":"Gallozzi","year":"2019","journal-title":"SCIRES-IT RESearch Inf. Technol."},{"key":"ref_237","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s10514-016-9573-1","article-title":"High-slope terrain locomotion for torque-controlled quadruped robots","volume":"41","author":"Focchi","year":"2017","journal-title":"Auton. Robot."},{"key":"ref_238","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s43154-021-00059-0","article-title":"Recent progress in legged robots locomotion control","volume":"2","author":"Carpentier","year":"2021","journal-title":"Curr. Robot. Rep."},{"key":"ref_239","doi-asserted-by":"crossref","first-page":"eabc5986","DOI":"10.1126\/scirobotics.abc5986","article-title":"Learning quadrupedal locomotion over challenging terrain","volume":"5","author":"Lee","year":"2020","journal-title":"Sci. Robot."},{"key":"ref_240","doi-asserted-by":"crossref","unstructured":"Lock, R., Burgess, S., and Vaidyanathan, R. (2013). Multi-modal locomotion: From animal to application. Bioinspir. Biomim., 9.","DOI":"10.1088\/1748-3182\/9\/1\/011001"},{"key":"ref_241","doi-asserted-by":"crossref","first-page":"3323","DOI":"10.1038\/s41467-023-39018-y","article-title":"Multi-Modal Mobility Morphobot (M4) with appendage repurposing for locomotion plasticity enhancement","volume":"14","author":"Sihite","year":"2023","journal-title":"Nat. Commun."},{"key":"ref_242","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1007\/s42235-023-00432-z","article-title":"Efficient dynamic locomotion of quadruped robot via adaptive diagonal gait","volume":"21","author":"Bi","year":"2024","journal-title":"J. Bionic Eng."},{"key":"ref_243","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1146\/annurev-control-060117-104903","article-title":"Design of materials and mechanisms for responsive robots","volume":"1","author":"Hawkes","year":"2018","journal-title":"Annu. Rev. Control. Robot. Auton. Syst."},{"key":"ref_244","doi-asserted-by":"crossref","unstructured":"Corb\u00e8res, T., Flayols, T., L\u00e9ziart, P.A., Budhiraja, R., Sou\u00e8res, P., Saurel, G., and Mansard, N. (June, January 30). Comparison of predictive controllers for locomotion and balance recovery of quadruped robots. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi\u2019an, China.","DOI":"10.1109\/ICRA48506.2021.9560976"},{"key":"ref_245","doi-asserted-by":"crossref","first-page":"23","DOI":"10.5772\/5695","article-title":"Sustainable robots for humanitarian demining","volume":"4","author":"Santana","year":"2007","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_246","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s43154-021-00048-3","article-title":"Multi-agent systems for search and rescue applications","volume":"2","author":"Drew","year":"2021","journal-title":"Curr. Robot. Rep."},{"key":"ref_247","first-page":"51","article-title":"Computational Intelligence for Robotics: Exploring Computational Intelligence Techniques for Enhancing the Capabilities of Robotic Systems","volume":"3","author":"Raparthi","year":"2023","journal-title":"Hong Kong J. AI Med."},{"key":"ref_248","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/MRA.2024.3415005","article-title":"Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control","volume":"31","author":"Mangalore","year":"2024","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_249","doi-asserted-by":"crossref","unstructured":"Ding, Y., Pandala, A., and Park, H.W. (2019, January 20\u201324). Real-time Model Predictive Control for Versatile Dynamic Motions in Quadrupedal Robots. Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8793669"},{"key":"ref_250","unstructured":"Feng, G., Zhang, H., Li, Z., Peng, X.B., Basireddy, B., Yue, L., Song, Z., Yang, L., Liu, Y., and Sreenath, K. (2022, January 14\u201318). GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. Proceedings of the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand. Available online: https:\/\/proceedings.mlr.press\/v205\/feng23a.html."},{"key":"ref_251","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1038\/s42256-021-00320-3","article-title":"Real-world embodied AI through a morphologically adaptive quadruped robot","volume":"3","author":"Nygaard","year":"2021","journal-title":"Nat. Mach. Intell."},{"key":"ref_252","doi-asserted-by":"crossref","first-page":"eabk2822","DOI":"10.1126\/scirobotics.abk2822","article-title":"Learning robust perceptive locomotion for quadrupedal robots in the wild","volume":"7","author":"Miki","year":"2022","journal-title":"Sci. Robot."},{"key":"ref_253","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1109\/TRO.2021.3111786","article-title":"Proximity perception in human-centered robotics: A survey on sensing systems and applications","volume":"38","author":"Navarro","year":"2021","journal-title":"IEEE Trans. Robot."},{"key":"ref_254","doi-asserted-by":"crossref","unstructured":"Vasic, M., and Billard, A. (2013, January 6\u201310). Safety Issues in Human-Robot Interactions. Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany.","DOI":"10.1109\/ICRA.2013.6630576"},{"key":"ref_255","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1146\/annurev-control-071723-102940","article-title":"The safety filter: A unified view of safety-critical control in autonomous systems","volume":"7","author":"Hsu","year":"2023","journal-title":"Annu. Rev. Control. Robot. Auton. Syst."},{"key":"ref_256","unstructured":"Rueben, M., and Smart, W.D. (2016, January 1\u20132). Privacy in Human-Robot Interaction: Survey and Future Work. Proceedings of the We Robot 2016: The Fifth Annual Conference on Legal and Policy Issues Relating to Robotics, University of Miami School of Law, Miami, FL, USA."},{"key":"ref_257","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1515\/pjbr-2021-0013","article-title":"Toward privacy-sensitive human\u2013robot interaction: Privacy terms and human\u2013data interaction in the personal robot era","volume":"12","author":"Chatzimichali","year":"2020","journal-title":"Paladyn J. Behav. Robot."},{"key":"ref_258","doi-asserted-by":"crossref","unstructured":"Marchang, J., and Di Nuovo, A. (2022). Assistive multimodal robotic system (AMRSys): Security and privacy issues, challenges, and possible solutions. Appl. Sci., 12.","DOI":"10.3390\/app12042174"},{"key":"ref_259","doi-asserted-by":"crossref","first-page":"100074","DOI":"10.1016\/j.csa.2024.100074","article-title":"Addressing Cybersecurity Challenges in Robotics: A Comprehensive Overview","volume":"3","author":"Tanimu","year":"2024","journal-title":"Cyber Secur. Appl."},{"key":"ref_260","unstructured":"West, D.M. (2018). The Future of Work: Robots, AI, and Automation, Brookings Institution Press."},{"key":"ref_261","doi-asserted-by":"crossref","first-page":"620","DOI":"10.30574\/wjarr.2023.18.3.1086","article-title":"The future of work: AI, automation, and the changing dynamics of developed economies","volume":"18","author":"Faishal","year":"2023","journal-title":"World J. Adv. Res. Rev."},{"key":"ref_262","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1086\/705716","article-title":"Robots and jobs: Evidence from US labor markets","volume":"128","author":"Acemoglu","year":"2020","journal-title":"J. Political Econ."},{"key":"ref_263","doi-asserted-by":"crossref","first-page":"S293","DOI":"10.1086\/718327","article-title":"Artificial intelligence and jobs: Evidence from online vacancies","volume":"40","author":"Acemoglu","year":"2022","journal-title":"J. Labor Econ."},{"key":"ref_264","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.robot.2016.08.026","article-title":"RoboLaw: Towards a European framework for robotics regulation","volume":"86","author":"Palmerini","year":"2016","journal-title":"Robot. Auton. Syst."},{"key":"ref_265","doi-asserted-by":"crossref","unstructured":"Barfield, W., Weng, Y.-H., and Pagallo, U. (2024). Robots, Regulation, and the Changing Nature of Public Space. The Cambridge Handbook of the Law, Policy, and Regulation for Human\u2013Robot Interaction, Cambridge University Press. Cambridge Law Handbooks.","DOI":"10.1017\/9781009386708"},{"key":"ref_266","first-page":"513","article-title":"Robotics and the Lessons of Cyberlaw","volume":"103","author":"Calo","year":"2015","journal-title":"Calif. Law Rev."},{"key":"ref_267","doi-asserted-by":"crossref","first-page":"193","DOI":"10.5235\/17579961.6.2.193","article-title":"Laws on robots, laws by robots, laws in robots: Regulating robot behaviour by design","volume":"6","author":"Leenes","year":"2014","journal-title":"Law Innov. Technol."},{"key":"ref_268","doi-asserted-by":"crossref","first-page":"690","DOI":"10.46398\/cuestpol.4072.40","article-title":"Legal regulation of artificial intelligence and robotic systems: Review of key approaches","volume":"40","author":"Kuteynikov","year":"2022","journal-title":"Cuest. Pol\u00edticas"},{"key":"ref_269","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.clsr.2018.12.009","article-title":"Robots, standards and the law: Rivalries between private standards and public policymaking for robot governance","volume":"35","author":"Villaronga","year":"2019","journal-title":"Comput. Law Secur. Rev."},{"key":"ref_270","first-page":"331","article-title":"Liability for robots I: Legal challenges","volume":"18","author":"Guerra","year":"2022","journal-title":"J. Inst. Econ."},{"key":"ref_271","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1097\/SLA.0000000000003196","article-title":"Cost-effectiveness evaluation of laparoscopic versus robotic minimally invasive colectomy","volume":"272","author":"Simianu","year":"2020","journal-title":"Ann. Surg."},{"key":"ref_272","first-page":"535","article-title":"Opportunities and Barriers for Adopting Robotics in Nigerian Construction Industry","volume":"4","author":"Amaifeobu","year":"2023","journal-title":"Int. J. Res. Publ. Rev."},{"key":"ref_273","doi-asserted-by":"crossref","first-page":"2002800","DOI":"10.1002\/adma.202002800","article-title":"Progress and Roadmap for Intelligent Self-Healing Materials in Autonomous Robotics","volume":"33","author":"Tan","year":"2021","journal-title":"Adv. Mater."},{"key":"ref_274","doi-asserted-by":"crossref","first-page":"2306079","DOI":"10.1002\/adfm.202306079","article-title":"Nature\u2019s Blueprint in Bioinspired Materials for Robotics","volume":"34","author":"Roh","year":"2024","journal-title":"Adv. Funct. Mater."},{"key":"ref_275","doi-asserted-by":"crossref","unstructured":"Arents, J., and Greitans, M. (2022). Smart industrial robot control trends, challenges and opportunities within manufacturing. Appl. Sci., 12.","DOI":"10.3390\/app12020937"},{"key":"ref_276","doi-asserted-by":"crossref","first-page":"2158244020958736","DOI":"10.1177\/2158244020958736","article-title":"Bridging the skill gap in robotics: Global and national environment","volume":"10","author":"Shmatko","year":"2020","journal-title":"Sage Open"},{"key":"ref_277","unstructured":"Hardin, C., Chaudhuri, P., and Elglaly, Y. (2022, January 14\u201318). Who Gets to Play with the Robot? Examining CS Education Tangibles and Accessibility. Proceedings of the Society for Information Technology & Teacher Education International Conference (SITE 2022), New Orleans, LA, USA. Available online: https:\/\/www.learntechlib.org\/primary\/p\/221136\/."},{"key":"ref_278","doi-asserted-by":"crossref","unstructured":"Lorenz, E., and Kraemer-Mbula, E. (2023). Measuring frontier technology adoption in developing countries. Handbook of Innovation Indicators and Measurement, Edward Elgar Publishing.","DOI":"10.4337\/9781800883024.00025"},{"key":"ref_279","doi-asserted-by":"crossref","unstructured":"Lohmann, S., Yosinski, J., Gold, E., Clune, J., Blum, J., and Lipson, H. (2012, January 19\u201322). Aracna: An open-source quadruped platform for evolutionary robotics. Proceedings of the Artificial Life Conference Proceedings, East Lansing, MI, USA.","DOI":"10.7551\/978-0-262-31050-5-ch051"},{"key":"ref_280","doi-asserted-by":"crossref","unstructured":"Mudalige, N.D.W., Zhura, I., Babataev, I., Nazarova, E., Fedoseev, A., and Tsetserukou, D. (2022, January 9\u201312). HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS. Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague, Czech Republic.","DOI":"10.1109\/SMC53654.2022.9945526"},{"key":"ref_281","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s13347-020-00399-3","article-title":"Steps toward an ethics of environmental robotics","volume":"34","author":"Donhauser","year":"2021","journal-title":"Philos. Technol."},{"key":"ref_282","first-page":"436","article-title":"Analysis and research of quadruped robot\u2019s actuators: A review","volume":"10","author":"Hussain","year":"2021","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"ref_283","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.ensm.2021.02.032","article-title":"Recycling and environmental issues of lithium-ion batteries: Advances, challenges and opportunities","volume":"37","author":"Costa","year":"2021","journal-title":"Energy Storage Mater."},{"key":"ref_284","first-page":"82","article-title":"Design issues and considerations for hardware implementation of wildlife surveillance system: A review","volume":"4","author":"Nadzri","year":"2021","journal-title":"J. Tomogr. Syst. Sens. Appl."},{"key":"ref_285","doi-asserted-by":"crossref","first-page":"2004413","DOI":"10.1002\/adma.202004413","article-title":"Becoming sustainable, the new frontier in soft robotics","volume":"33","author":"Hartmann","year":"2021","journal-title":"Adv. Mater."},{"key":"ref_286","doi-asserted-by":"crossref","unstructured":"Chellapurath, M., Khandelwal, P.C., and Schulz, A.K. (2023). Bioinspired robots can foster nature conservation. Front. Robot. AI, 10.","DOI":"10.3389\/frobt.2023.1145798"},{"key":"ref_287","doi-asserted-by":"crossref","unstructured":"Cannon, C.H., Borchetta, C., Anderson, D.L., Arellano, G., Barker, M., Charron, G., LaMontagne, J.M., Richards, J.H., Abercrombie, E., and Banin, L.F. (2021). Extending our scientific reach in arboreal ecosystems for research and management. Front. For. Glob. Change, 4.","DOI":"10.3389\/ffgc.2021.712165"},{"key":"ref_288","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1016\/j.cub.2015.07.024","article-title":"Bears show a physiological but limited behavioral response to unmanned aerial vehicles","volume":"25","author":"Ditmer","year":"2015","journal-title":"Curr. Biol."},{"key":"ref_289","doi-asserted-by":"crossref","unstructured":"Mulero-P\u00e1zm\u00e1ny, M., Jenni-Eiermann, S., Strebel, N., Sattler, T., Negro, J.J., and Tablado, Z. (2017). Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0178448"},{"key":"ref_290","doi-asserted-by":"crossref","unstructured":"Balaganesan, S.M., Abishek, S., Aravinth, R., and Maignanamoorthy, A.S.N. (2023, January 23\u201325). Solar Based Grass Cutter Robot. Proceedings of the 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS 2023), Trichy, India.","DOI":"10.1109\/ICAISS58487.2023.10250550"},{"key":"ref_291","unstructured":"Campazas-Vega, A., Miguel-Diez, A., Hermida-L\u00f3pez, M., \u00c1lvarez-Aparicio, C., Crespo-Mart\u00ednez, I.S., and Guerrero-Higueras, \u00c1.M. (2023, January 24). Cybersecurity Issues in Robotic Platforms. Proceedings of the 14th International Conference on Business Information Security (BISEC 2023), Ni\u0161, Serbia. CEUR Workshop Proceedings."},{"key":"ref_292","first-page":"200237","article-title":"Cyber security of robots: A comprehensive survey","volume":"18","author":"Botta","year":"2023","journal-title":"Intell. Syst. Appl."},{"key":"ref_293","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s10207-021-00545-8","article-title":"Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations","volume":"21","author":"Yaacoub","year":"2022","journal-title":"Int. J. Inf. Secur."},{"key":"ref_294","doi-asserted-by":"crossref","unstructured":"Breiling, B., Dieber, B., and Schartner, P. (2017, January 24\u201327). Secure Communication for the Robot Operating System. Proceedings of the 2017 Annual IEEE International Systems Conference (SysCon), Montreal, QC, Canada.","DOI":"10.1109\/SYSCON.2017.7934755"},{"key":"ref_295","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1109\/TCYB.2018.2817249","article-title":"Security research on wireless networked control systems subject to jamming attacks","volume":"49","author":"Yang","year":"2018","journal-title":"IEEE Trans. Cybern."},{"key":"ref_296","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1109\/COMST.2022.3159185","article-title":"Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey","volume":"24","author":"Pirayesh","year":"2022","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_297","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1002\/ccd.28425","article-title":"Network latency and long-distance robotic telestenting: Exploring the potential impact of network delays on telestenting performance","volume":"95","author":"Madder","year":"2020","journal-title":"Catheter. Cardiovasc. Interv."},{"key":"ref_298","doi-asserted-by":"crossref","first-page":"8392","DOI":"10.1109\/ACCESS.2021.3049426","article-title":"Autonomous social distancing in urban environments using a quadruped robot","volume":"9","author":"Chen","year":"2021","journal-title":"IEEE Access"},{"key":"ref_299","first-page":"4","article-title":"Studying Human Robot Interaction and Its Characteristics","volume":"2","author":"Farouk","year":"2022","journal-title":"Int. J. Comput. Inf. Manuf."},{"key":"ref_300","doi-asserted-by":"crossref","unstructured":"Hashimoto, N., Hagens, E., Zgonnikov, A., and Lupetti, M.L. (2024). Safe Spot: Perceived safety of dominant and submissive appearances of quadruped robots in human-robot interactions. arXiv.","DOI":"10.1109\/RO-MAN60168.2024.10731298"},{"key":"ref_301","doi-asserted-by":"crossref","first-page":"111044","DOI":"10.1016\/j.comnet.2025.111044","article-title":"Low-AoI data collection in integrated UAV-UGV-assisted IoT systems based on deep reinforcement learning","volume":"259","author":"Fu","year":"2025","journal-title":"Comput. Netw."},{"key":"ref_302","doi-asserted-by":"crossref","first-page":"110731","DOI":"10.1016\/j.comnet.2024.110731","article-title":"Joint resource scheduling and flight path planning of UAV-assisted IoTs in response to emergencies","volume":"253","author":"Wang","year":"2024","journal-title":"Comput. Netw."},{"key":"ref_303","doi-asserted-by":"crossref","unstructured":"Doriya, R., Mishra, S., and Gupta, S. (2015, January 15\u201316). A Brief Survey and Analysis of Multi-Robot Communication and Coordination. Proceedings of the 2015 International Conference on Computing, Communication and Automation (ICCCA), Noida, India.","DOI":"10.1109\/CCAA.2015.7148524"},{"key":"ref_304","doi-asserted-by":"crossref","unstructured":"Abhang, L.B., Gummadi, A., Changala, R., Vuyyuru, V.A., Sabareesh, R., and Raj, I.I. (2024, January 14\u201315). Swarm Intelligence for Multi-Robot Coordination in Agricultural Automation. Proceedings of the 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.","DOI":"10.1109\/ICACCS60874.2024.10717088"},{"key":"ref_305","doi-asserted-by":"crossref","unstructured":"Yousaf, A.W., and Di Caro, G.A. (2021, January 6\u20138). Data Sharing and Assimilation in Multi-Robot Systems for Environment Mapping. Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2021), Lieusaint, France.","DOI":"10.5220\/0010607505140522"},{"key":"ref_306","doi-asserted-by":"crossref","unstructured":"Ravankar, A., Ravankar, A.A., Hoshino, Y., and Kobayashi, Y. (2019). On sharing spatial data with uncertainty integration amongst multiple robots having different maps. Appl. Sci., 9.","DOI":"10.3390\/app9132753"},{"key":"ref_307","doi-asserted-by":"crossref","first-page":"1192","DOI":"10.3390\/appliedmath4040064","article-title":"Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review","volume":"4","author":"Nguyen","year":"2024","journal-title":"AppliedMath"},{"key":"ref_308","doi-asserted-by":"crossref","first-page":"102484","DOI":"10.1016\/j.rcim.2022.102484","article-title":"Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models","volume":"81","author":"Buerkle","year":"2023","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_309","doi-asserted-by":"crossref","first-page":"321","DOI":"10.30574\/gscarr.2024.18.2.0070","article-title":"AI and human-robot interaction: A review of recent advances and challenges","volume":"18","author":"Obaigbena","year":"2024","journal-title":"GSC Adv. Res. Rev."}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/14\/5\/57\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:22:10Z","timestamp":1760030530000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/14\/5\/57"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,26]]},"references-count":309,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["robotics14050057"],"URL":"https:\/\/doi.org\/10.3390\/robotics14050057","relation":{},"ISSN":["2218-6581"],"issn-type":[{"value":"2218-6581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,26]]}}}