{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:12:42Z","timestamp":1760058762934,"version":"build-2065373602"},"reference-count":215,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC Energy Programme","doi-asserted-by":"publisher","award":["EP\/W006839\/1"],"award-info":[{"award-number":["EP\/W006839\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>Nuclear environments demand exceptional precision, reliability, and safety, given the high stakes involved in handling radioactive materials and maintaining reactor systems. Object-oriented assembly and disassembly operations in nuclear applications represent a cutting-edge approach to managing complex, high-stakes operations with enhanced precision and safety. This paper discusses the challenges associated with nuclear robotic remote operations, summarizes current methods for handling object-oriented assembly and disassembly operations, and explores potential future research directions in this field. Object-oriented assembly and disassembly operations are vital in nuclear applications due to their ability to manage complexity, ensure precision, and enhance safety and reliability, all of which are paramount in the demanding and high-risk environment of nuclear technology.<\/jats:p>","DOI":"10.3390\/bdcc9050118","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T05:17:12Z","timestamp":1745903832000},"page":"118","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Survey on Object-Oriented Assembly and Disassembly Operations in Nuclear Applications"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3195-3862","authenticated-orcid":false,"given":"Wenxing","family":"Liu","sequence":"first","affiliation":[{"name":"UK Atomic Energy Authority, Culham Campus, Abingdon OX14 3DB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2641-3570","authenticated-orcid":false,"given":"Ipek","family":"Caliskanelli","sequence":"additional","affiliation":[{"name":"UK Atomic Energy Authority, Culham Campus, Abingdon OX14 3DB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0457-0871","authenticated-orcid":false,"given":"Hanlin","family":"Niu","sequence":"additional","affiliation":[{"name":"UK Atomic Energy Authority, Culham Campus, Abingdon OX14 3DB, UK"}]},{"given":"Kaiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"UK Atomic Energy Authority, Culham Campus, Abingdon OX14 3DB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1076-906X","authenticated-orcid":false,"given":"Robert","family":"Skilton","sequence":"additional","affiliation":[{"name":"UK Atomic Energy Authority, Culham Campus, Abingdon OX14 3DB, UK"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"20170436","DOI":"10.1098\/rsta.2017.0436","article-title":"UKAEA capabilities to address the challenges on the path to delivering fusion power","volume":"377","author":"Chapman","year":"2019","journal-title":"Philos. Trans. R. Soc. A"},{"key":"ref_2","unstructured":"Turrell, A. (2021). The Star Builders: Nuclear Fusion and the Race to Power the planet, Simon and Schuster."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Takeda, S., and Pearson, R. (2018). Nuclear fusion power plants. Power Plants in the Industry, IntechOpen.","DOI":"10.5772\/intechopen.80241"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ciattaglia, S., Federici, G., Barucca, L., Lampasi, A., Minucci, S., and Moscato, I. (2017, January 6\u20139). The European DEMO fusion reactor: Design status and challenges from balance of plant point of view. Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC\/I&CPS Europe), Milan, Italy.","DOI":"10.1109\/EEEIC.2017.7977853"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1038\/nphys3735","article-title":"Materials research for fusion","volume":"12","author":"Knaster","year":"2016","journal-title":"Nat. Phys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"085001","DOI":"10.1088\/1741-4326\/ac62f7","article-title":"Overview on the management of radioactive waste from fusion facilities: ITER, demonstration machines and power plants","volume":"62","author":"Smith","year":"2022","journal-title":"Nucl. Fusion"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1016\/j.fusengdes.2007.04.049","article-title":"A perspective on fusion relevant remote handling techniques","volume":"82","author":"Rolfe","year":"2007","journal-title":"Fusion Eng. Des."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"JET Team (2000). Development of key fusion technologies at JET. Nucl. Fusion, 40, 611.","DOI":"10.1088\/0029-5515\/40\/3Y\/323"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0920-3796(94)00339-9","article-title":"ITER: The first experimental fusion reactor","volume":"27","author":"Rebut","year":"1995","journal-title":"Fusion Eng. Des."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.fusengdes.2017.05.081","article-title":"Overview of the fusion nuclear science facility, a credible break-in step on the path to fusion energy","volume":"135","author":"Kessel","year":"2018","journal-title":"Fusion Eng. Des."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s10894-018-0187-9","article-title":"Innovations in Technology and Science R&D for ITER","volume":"38","author":"Campbell","year":"2019","journal-title":"J. Fusion Energy"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.fusengdes.2008.11.029","article-title":"The ITER remote maintenance management system","volume":"84","author":"Tesini","year":"2009","journal-title":"Fusion Eng. Des."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3167\/aia.2021.280206","article-title":"The nuclear\/nuclear family: Moralities of intimacy under COVID-19","volume":"28","author":"Kalshoven","year":"2021","journal-title":"Anthropol. Action"},{"key":"ref_14","unstructured":"Hastings, J., Zimmerman, C., Little, P., Mills, R., Clifford, J., and Wise, M. (2016, January 6\u201310). Preparation of Waste Fingerprints for the Miscellaneous Beta Gamma Waste Feeds to the Box Encapsulation Plant at Sellafield-16080. Proceedings of the Annual Waste Management Conference, WM2016, Phoenix, AZ, USA."},{"key":"ref_15","unstructured":"Duinslaeger, L., Casteleyn, K., Andor, C., Buda, R., Marquez, R., Commin, L., d\u2019Amati, F., Emblico, L., Enright, T., and Hild, M. (2018). Euratom On-Site Laboratories Refurbishments and Developments. Table Content Issue n 56, 43."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1177\/0954408911417513","article-title":"Case study: Vortex amplifier assemblies for glovebox applications containing radiological hazard","volume":"226","author":"Francis","year":"2012","journal-title":"Proc. Inst. Mech. Eng. Part E J. Process Mech. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1016\/j.fusengdes.2008.04.003","article-title":"Detritiation studies for JET decommissioning","volume":"83","author":"Perevezentsev","year":"2008","journal-title":"Fusion Eng. Des."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"04017004","DOI":"10.1061\/(ASCE)IS.1943-555X.0000353","article-title":"Review of robotic infrastructure inspection systems","volume":"23","author":"Lattanzi","year":"2017","journal-title":"J. Infrastruct. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1016\/j.psep.2022.07.046","article-title":"Risk-based and predictive maintenance planning of engineering infrastructure: Existing quantitative techniques and future directions","volume":"165","author":"Abbassi","year":"2022","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_20","unstructured":"Staniaszek, M., Flatscher, T., Rowell, J., Niu, H., Liu, W., You, Y., Skilton, R., Fallon, M., and Hawes, N. (2024). AutoInspect: Towards Long-Term Autonomous Industrial Inspection. arXiv."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Keller, D., Perrot, Y., Gargiulo, L., Friconneau, J.P., Bruno, V., Le, R., Soler, B., Itchah, M., Ponsort, D., and Chambaud, P. (2008, January 22\u201326). Demonstration of an ITER relevant remote handling equipment for Tokamak close inspection. Proceedings of the 2008 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Nice, France.","DOI":"10.1109\/IROS.2008.4650808"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1016\/j.fusengdes.2008.06.039","article-title":"Development of an ITER relevant inspection robot","volume":"83","author":"Gargiulo","year":"2008","journal-title":"Fusion Eng. Des."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"113121","DOI":"10.1016\/j.fusengdes.2022.113121","article-title":"EU DEMO remote maintenance system development during the pre-concept design phase","volume":"179","author":"Crofts","year":"2022","journal-title":"Fusion Eng. Des."},{"key":"ref_24","first-page":"v2","article-title":"Evaluating OMNI Robot Navigation with SLAM in CoppeliaSim: Hemangiomas and Nonhomogeneous Paths","volume":"1","author":"Moshayedi","year":"2024","journal-title":"Transformation"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Sharma, U., Medasetti, U.S., Deemyad, T., Mashal, M., and Yadav, V. (2024). Mobile Robot for Security Applications in Remotely Operated Advanced Reactors. Appl. Sci., 14.","DOI":"10.3390\/app14062552"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zimmermann, S., Poranne, R., and Coros, S. (June, January 30). Go fetch!-dynamic grasps using boston dynamics spot with external robotic arm. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China.","DOI":"10.1109\/ICRA48506.2021.9561835"},{"key":"ref_27","unstructured":"Arvin, F., Ayoola, O., Bird, B., Brown, L., Carrasco, J., Cheah, W., Espinosa, J., Green, P., Griffiths, A., and Lennox, B. (2016, January 6\u201310). Mobile Robots and Remote Characterisation Systems for Nuclear Decommissioning\u201316028. Proceedings of the WM2016 Conference, WM Symposia, Phoenix, AZ, USA."},{"key":"ref_28","unstructured":"Watson, S., Lennox, B., Stancu, A., Green, P., and Dowson, M. (2014, January 2\u20136). Remote Characterization Technology for Decommissioning\u201314131. Proceedings of the WM2014 Conference, Phoenix, AZ, USA."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Chang, Y., Zou, S., Lin, G., Tang, D., Wei, C., and Xu, S. (2024). Research on Radiation Damage and Reinforcement of Control and Sensing Systems in Nuclear Robots. Electronics, 13.","DOI":"10.3390\/electronics13071214"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.1016\/j.fusengdes.2010.11.011","article-title":"Developments in remote metrology at JET","volume":"86","author":"Mindham","year":"2011","journal-title":"Fusion Eng. Des."},{"key":"ref_31","first-page":"22","article-title":"Key Features of the new in-vessel inspection system at JET","volume":"26","author":"Businaro","year":"1994","journal-title":"Fusion Eng. Des."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"042026","DOI":"10.1088\/1741-4326\/ac47b4","article-title":"Overview of JET results for optimising ITER operation","volume":"62","author":"Mailloux","year":"2022","journal-title":"Nucl. Fusion"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1016\/j.fusengdes.2012.02.039","article-title":"Development and application of high volume remote handling systems in support of JET and ITER","volume":"87","author":"Loving","year":"2012","journal-title":"Fusion Eng. Des."},{"key":"ref_34","unstructured":"Hamilton, D., and Preece, G. (2001). Development of the MASCOT Telemanipulator Control System, European Fusion Development Agreement."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.fusengdes.2018.03.026","article-title":"MASCOT 6: Achieving high dexterity tele-manipulation with a modern architectural design for fusion remote maintenance","volume":"136","author":"Skilton","year":"2018","journal-title":"Fusion Eng. Des."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Hulin, T., Panzirsch, M., Singh, H., Coelho, A., Balachandran, R., Pereira, A., Weber, B.M., Bechtel, N., Riecke, C., and Brunner, B. (2021). Model-augmented haptic telemanipulation: Concept, retrospective overview, and current use cases. Front. Robot. AI, 8.","DOI":"10.3389\/frobt.2021.611251"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1162\/105474605775196634","article-title":"Feedback strategies for telemanipulation with shared control of object handling forces","volume":"14","author":"Griffin","year":"2005","journal-title":"Presence"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TASE.2013.2245122","article-title":"A review of haptic feedback teleoperation systems for micromanipulation and microassembly","volume":"10","author":"Bolopion","year":"2013","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.fusengdes.2011.01.138","article-title":"The remote handling systems for ITER","volume":"86","author":"Ribeiro","year":"2011","journal-title":"Fusion Eng. Des."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"102001","DOI":"10.1088\/1741-4326\/aa5e28","article-title":"Overview of the JET results in support to ITER","volume":"57","author":"Litaudon","year":"2017","journal-title":"Nucl. Fusion"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"104002","DOI":"10.1088\/0029-5515\/53\/10\/104002","article-title":"Overview of the JET results with the ITER-like wall","volume":"53","author":"Romanelli","year":"2013","journal-title":"Nucl. Fusion"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"105694","DOI":"10.1016\/j.compag.2020.105694","article-title":"State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review","volume":"177","author":"Zhang","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"ref_43","first-page":"1","article-title":"Fruit classification utilizing a robotic gripper with integrated sensors and adaptive grasping","volume":"2021","author":"Zhang","year":"2021","journal-title":"Math. Probl. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Borras, J., Heudorfer, R., Rader, S., Kaiser, P., and Asfour, T. (2018, January 1\u20135). The KIT Swiss Knife Gripper for disassembly tasks: A multi-functional gripper for bimanual manipulation with a single arm. Proceedings of the 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.","DOI":"10.1109\/IROS.2018.8593567"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Klas, C., Hundhausen, F., Gao, J., Dreher, C.R., Reither, S., Zhou, Y., and Asfour, T. (June, January 30). The kit gripper: A multi-functional gripper for disassembly tasks. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China.","DOI":"10.1109\/ICRA48506.2021.9561336"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Gorjup, G., Gao, G., Dwivedi, A., and Liarokapis, M. (2020, January 25\u201329). Combining compliance control, cad based localization, and a multi-modal gripper for rapid and robust programming of assembly tasks. Proceedings of the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.","DOI":"10.1109\/IROS45743.2020.9340869"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1023\/A:1015778621008","article-title":"A novel disassembly tool with screwnail endeffectors","volume":"13","author":"Zuo","year":"2002","journal-title":"J. Intell. Manuf."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"498","DOI":"10.3182\/20060906-3-IT-2910.00084","article-title":"A low-cost reconfigurable gripper for assembly and disassembly tasks in white industry","volume":"39","author":"Molfino","year":"2006","journal-title":"IFAC Proc. Vol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"11768","DOI":"10.1109\/TITS.2024.3364356","article-title":"Distributed Collision-Free Bearing Coordination of Multi-UAV Systems with Actuator Faults and Time Delays","volume":"25","author":"Wu","year":"2024","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Harrison, N., Liu, W., Jang, I., Carrasco, J., Herrmann, G., and Sykes, N. (2020, January 16). A comparative study for obstacle avoidance inverse kinematics: Null-space based vs. optimisation-based. Proceedings of the Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Proceedings 21, Nottingham, UK.","DOI":"10.1007\/978-3-030-63486-5_18"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1016\/j.cirp.2013.05.005","article-title":"CAD model based virtual assembly simulation, planning and training","volume":"62","author":"Leu","year":"2013","journal-title":"CIRP Ann."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.ymssp.2008.03.013","article-title":"Uncertainty handling in structural damage detection using fuzzy logic and probabilistic simulation","volume":"23","author":"Chandrashekhar","year":"2009","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.envsoft.2018.11.018","article-title":"Introductory overview: Optimization using evolutionary algorithms and other metaheuristics","volume":"114","author":"Maier","year":"2019","journal-title":"Environ. Model. Softw."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/BF02823145","article-title":"An introduction to genetic algorithms","volume":"24","author":"Deb","year":"1999","journal-title":"Sadhana"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1993.1.1.1","article-title":"An overview of evolutionary algorithms for parameter optimization","volume":"1","author":"Schwefel","year":"1993","journal-title":"Evol. Comput."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1007\/s00170-019-03359-0","article-title":"Assembly sequence plan generation of heavy machines based on the stability criterion","volume":"102","author":"Bedeoui","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1346","DOI":"10.1109\/TASE.2023.3239748","article-title":"Finite-time fault-tolerant formation control for distributed multi-vehicle networks with bearing measurements","volume":"21","author":"Wu","year":"2023","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Yuan, P. (2006, January 9\u201315). An adaptive feedback scheduling algorithm for robot assembly and real-time control systems. Proceedings of the 2006 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Beijing, China.","DOI":"10.1109\/IROS.2006.282565"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3447","DOI":"10.1016\/j.ifacol.2023.10.1496","article-title":"Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems","volume":"56","author":"Wu","year":"2023","journal-title":"IFAC-PapersOnLine"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Matthey, L., Berman, S., and Kumar, V. (2009, January 12\u201317). Stochastic strategies for a swarm robotic assembly system. Proceedings of the 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan.","DOI":"10.1109\/ROBOT.2009.5152457"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"3410","DOI":"10.1109\/LRA.2019.2926680","article-title":"Design and control of aerial modules for inflight self-disassembly","volume":"4","author":"Saldana","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"5998","DOI":"10.1109\/LRA.2023.3296008","article-title":"Closed-Loop Control of Magnetic Modular Cubes for 2D Self-Assembly","volume":"8","author":"Lu","year":"2023","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/TASE.2006.880538","article-title":"Automatic control sequence generation for a hybrid disassembly system","volume":"4","author":"Kim","year":"2007","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Yu, J., and LaValle, S.M. (2013, January 6\u201310). Planning optimal paths for multiple robots on graphs. Proceedings of the 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany.","DOI":"10.1109\/ICRA.2013.6631084"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1177\/0954405416673095","article-title":"Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing","volume":"232","author":"Hutabarat","year":"2018","journal-title":"Proc. Inst. Mech. Eng. Part B J. Eng. Manuf."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Rakita, D., Mutlu, B., and Gleicher, M. (2018, January 26\u201330). RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion. Proceedings of the Robotics: Science and Systems, Pittsburgh, PA, USA.","DOI":"10.15607\/RSS.2018.XIV.043"},{"key":"ref_67","unstructured":"Dehdari, V. (2011). Comparing three popular optimization algorithms by considering advantages and disadvantages of each of them using a field case study. CCG Annu. Rep., 13."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.rcim.2010.07.015","article-title":"Assembly simulations in virtual environments with optimized haptic path and sequence","volume":"27","author":"Yoon","year":"2011","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/TRO.2022.3198020","article-title":"Long-horizon multi-robot rearrangement planning for construction assembly","volume":"39","author":"Hartmann","year":"2022","journal-title":"IEEE Trans. Robot."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Brown, K., Peltzer, O., Sehr, M.A., Schwager, M., and Kochenderfer, M.J. (August, January 31). Optimal sequential task assignment and path finding for multi-agent robotic assembly planning. Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France.","DOI":"10.1109\/ICRA40945.2020.9197527"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"103054","DOI":"10.1016\/j.mechatronics.2023.103054","article-title":"Robotic peg-in-hole assembly based on reversible dynamic movement primitives and trajectory optimization","volume":"95","author":"Zhao","year":"2023","journal-title":"Mechatronics"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.apm.2020.05.006","article-title":"Robotic disassembly line balancing problem: A mathematical model and ant colony optimization approach","volume":"86","author":"Mete","year":"2020","journal-title":"Appl. Math. Model."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Alshibli, M., ElSayed, A., Kongar, E., Sobh, T., and Gupta, S.M. (2019). A robust robotic disassembly sequence design using orthogonal arrays and task allocation. Robotics, 8.","DOI":"10.3390\/robotics8010020"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1109\/TASE.2021.3061506","article-title":"Energy-efficient robotic parallel disassembly sequence planning for end-of-life products","volume":"19","author":"Wang","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","article-title":"A comparative study of artificial bee colony algorithm","volume":"214","author":"Karaboga","year":"2009","journal-title":"Appl. Math. Comput."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1109\/TASE.2017.2690802","article-title":"Disassembly sequence planning considering fuzzy component quality and varying operational cost","volume":"15","author":"Tian","year":"2017","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Brunner, S.G., Steinmetz, F., Belder, R., and D\u00f6mel, A. (2016, January 9\u201314). RAFCON: A graphical tool for engineering complex, robotic tasks. Proceedings of the 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Republic of Korea.","DOI":"10.1109\/IROS.2016.7759506"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s00170-015-6861-4","article-title":"Selective disassembly sequence generation based on lowest level disassembly graph method","volume":"80","author":"Mitrouchev","year":"2015","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"3721","DOI":"10.1080\/0020754031000120078","article-title":"Disassembly sequencing: A survey","volume":"41","author":"Lambert","year":"2003","journal-title":"Int. J. Prod. Res."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Grieves, M., and Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. Transdisciplinary Perspectives on Complex Systems: New Findings and Approaches, Springer.","DOI":"10.1007\/978-3-319-38756-7_4"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Camelot, A., Baptiste, P., and Mascle, C. (2013, January 28\u201330). Decision support tool for the disassembly of reusable parts on an end-of-life aircraft. Proceedings of the 2013 International Conference on Industrial Engineering and Systems Management (IESM), Rabat, Morocco.","DOI":"10.1109\/ISAM.2013.6643508"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1145\/356698.356702","article-title":"Petri nets","volume":"9","author":"Peterson","year":"1977","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_83","first-page":"1351","article-title":"Disassembly sequence evaluation using graph visualization and immersive computing technologies","volume":"Volume 45011","author":"Berg","year":"2012","journal-title":"Proceedings of the International Design Engineering Technical Conferences and Computers and Information in Engineering Conference"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1080\/09544820601013019","article-title":"Design for disassembly: A methodology for identifying the optimal disassembly sequence","volume":"18","author":"Cappelli","year":"2007","journal-title":"J. Eng. Des."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12046-020-01525-9","article-title":"Optimal disassembly sequence generation and disposal of parts using stability graph cut-set method for End of Life product","volume":"46","author":"Gunji","year":"2021","journal-title":"S\u0101dhan\u0101"},{"key":"ref_86","first-page":"16","article-title":"A review on graphical assembly sequence representation methods and their advancements","volume":"1","author":"Bahubalendruni","year":"2015","journal-title":"J. Mechatronics Autom."},{"key":"ref_87","unstructured":"Fonseca, D.J., Elam, M., Karr, C.L., and Guest, C. (2005). A fuzzy logic approach to assembly line. Mathw. Soft Comput., 12."},{"key":"ref_88","unstructured":"Chandna, R. (2008, January 2\u20134). Measurement of agility in manufacturing systems: A fuzzy logic approach. Proceedings of the World Congress on Engineering, London, UK."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/S0165-0114(83)80081-5","article-title":"The role of fuzzy logic in the management of uncertainty in expert systems","volume":"11","author":"Zadeh","year":"1983","journal-title":"Fuzzy Sets Syst."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"7","DOI":"10.5772\/5622","article-title":"Assembly and disassembly planning by using fuzzy logic & genetic algorithms","volume":"1","author":"Galantucci","year":"2004","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"2029","DOI":"10.1109\/TSMCB.2004.833331","article-title":"Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets","volume":"34","author":"Gao","year":"2004","journal-title":"IEEE Trans. Syst. Man, Cybern. Part B (Cybern.)"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1109\/TSMCA.2005.853508","article-title":"Fuzzy-Petri-net-based disassembly planning considering human factors","volume":"36","author":"Tang","year":"2006","journal-title":"IEEE Trans. Syst. Man, Cybern.-Part A Syst. Humans"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Abdel-Basset, M., Abdel-Fatah, L., and Sangaiah, A.K. (2018). Metaheuristic algorithms: A comprehensive review. Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Academic Press.","DOI":"10.1016\/B978-0-12-813314-9.00010-4"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1061\/(ASCE)0733-9364(1999)125:3(167)","article-title":"Optimization of resource allocation and leveling using genetic algorithms","volume":"125","author":"Hegazy","year":"1999","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Wong, W., and Ming, C.I. (2019, January 28\u201330). A review on metaheuristic algorithms: Recent trends, benchmarking and applications. Proceedings of the 2019 7th International Conference on Smart Computing & Communications (ICSCC), Miri, Sarawak, Malaysia.","DOI":"10.1109\/ICSCC.2019.8843624"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"102828","DOI":"10.1016\/j.cad.2020.102828","article-title":"ASPPR: A new assembly sequence and path planner\/replanner for monotone and nonmonotone assembly planning","volume":"123","author":"Masehian","year":"2020","journal-title":"Comput.-Aided Des."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TEVC.2019.2921598","article-title":"A survey of automatic parameter tuning methods for metaheuristics","volume":"24","author":"Huang","year":"2019","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"2103","DOI":"10.1007\/s00170-019-04241-9","article-title":"Product cooperative disassembly sequence and task planning based on genetic algorithm","volume":"105","author":"Tian","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"2095","DOI":"10.1109\/TASE.2021.3072663","article-title":"Robotic disassembly sequence planning with backup actions","volume":"19","author":"Laili","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Vikhar, P.A. (2016, January 22\u201324). Evolutionary algorithms: A critical review and its future prospects. Proceedings of the 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), Jalgaon, India.","DOI":"10.1109\/ICGTSPICC.2016.7955308"},{"key":"ref_101","unstructured":"Hassan, S., and Yoon, J. (2010, January 18\u201322). Haptic based optimized path planning approach to virtual maintenance assembly\/disassembly (MAD). Proceedings of the 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1016\/j.rcim.2007.02.012","article-title":"Disassembly sequence planning in a disassembly cell context","volume":"23","author":"Lozano","year":"2007","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.jmsy.2016.09.008","article-title":"A multi-objective algorithm for task scheduling and resource allocation in cloud-based disassembly","volume":"41","author":"Jiang","year":"2016","journal-title":"J. Manuf. Syst."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Chatterjee, S., Sarkar, S., Dey, N., Ashour, A.S., and Sen, S. (2018). Hybrid non-dominated sorting genetic algorithm: II-neural network approach. Advancements in Applied Metaheuristic Computing, IGI Global.","DOI":"10.4018\/978-1-5225-4151-6.ch011"},{"key":"ref_105","first-page":"699","article-title":"An efficient system for geometric assembly sequence generation and evaluation","volume":"Volume 17018","author":"Romney","year":"1995","journal-title":"Proceedings of the International Design Engineering Technical Conferences and Computers and Information in Engineering Conference"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/0004-3702(94)90048-5","article-title":"Geometric reasoning about mechanical assembly","volume":"71","author":"Wilson","year":"1994","journal-title":"Artif. Intell."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/0097-8493(90)90035-V","article-title":"Assembly planning based on geometric reasoning","volume":"14","author":"Lee","year":"1990","journal-title":"Comput. Graph."},{"key":"ref_108","unstructured":"Roa, M.A., Nottensteiner, K., Wedler, A., and Grunwald, G. (2017, January 20\u201322). Robotic technologies for in-space assembly operations. Proceedings of the Advanced Space Technologies in Robotics and Automation (ASTRA), Leiden, The Netherlands."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1109\/LRA.2019.2895845","article-title":"Iteratively refined feasibility checks in robotic assembly sequence planning","volume":"4","author":"Nottensteiner","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.procir.2016.02.001","article-title":"Virtual disassembly sequences generation and evaluation","volume":"44","author":"Mitrouchev","year":"2016","journal-title":"Procedia Cirp"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1007\/s00170-019-04864-y","article-title":"Base part centered assembly task precedence generation","volume":"107","author":"Mateus","year":"2020","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Costa, C.M., Veiga, G., Sousa, A., Rocha, L., Oliveira, E., Cardoso, H.L., and Thomas, U. (2018, January 25\u201327). Automatic generation of disassembly sequences and exploded views from solidworks symbolic geometric relationships. Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Torres Vedras, Portugal.","DOI":"10.1109\/ICARSC.2018.8374185"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"105603","DOI":"10.1016\/j.cor.2021.105603","article-title":"Assembly planning by disjunctive programming and geometrical reasoning","volume":"138","author":"Kis","year":"2022","journal-title":"Comput. Oper. Res."},{"key":"ref_114","first-page":"189","article-title":"Introduction to artificial neural network","volume":"2","author":"Dongare","year":"2012","journal-title":"Int. J. Eng. Innov. Technol. (IJEIT)"},{"key":"ref_115","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_116","doi-asserted-by":"crossref","unstructured":"Khalid, S., Khalil, T., and Nasreen, S. (2014, January 27\u201329). A survey of feature selection and feature extraction techniques in machine learning. Proceedings of the 2014 Science and Information Conference, London, UK.","DOI":"10.1109\/SAI.2014.6918213"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3439950","article-title":"Deep learning for anomaly detection: A review","volume":"54","author":"Pang","year":"2021","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_118","doi-asserted-by":"crossref","unstructured":"Liu, W., Niu, H., Mahyuddin, M.N., Herrmann, G., and Carrasco, J. (2021, January 12\u201315). A model-free deep reinforcement learning approach for robotic manipulators path planning. Proceedings of the 2021 21st International Conference on Control, Automation and Systems (ICCAS), Jeju, Republic of Korea.","DOI":"10.23919\/ICCAS52745.2021.9649802"},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Liu, H., and Motoda, H. (1998). Feature Extraction, Construction and Selection: A Data Mining Perspective, Springer Science & Business Media.","DOI":"10.1007\/978-1-4615-5725-8"},{"key":"ref_120","first-page":"43","article-title":"A survey of shape feature extraction techniques","volume":"15","author":"Mingqiang","year":"2008","journal-title":"Pattern Recognit."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1016\/j.fusengdes.2016.06.016","article-title":"Automatic feature extraction in large fusion databases by using deep learning approach","volume":"112","author":"Farias","year":"2016","journal-title":"Fusion Eng. Des."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1109\/TII.2023.3264284","article-title":"Unsupervised human activity recognition learning for disassembly tasks","volume":"20","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"031008","DOI":"10.1115\/1.4056074","article-title":"Automatic screw detection and tool recommendation system for robotic disassembly","volume":"145","author":"Zhang","year":"2023","journal-title":"J. Manuf. Sci. Eng."},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Adesso, M.F., Hegewald, R., Wolpert, N., Sch\u00f6mer, E., Maier, B., and Epple, B.A. (2022, January 23\u201327). Automatic Classification and Disassembly of Fasteners in Industrial 3D CAD-Scenarios. Proceedings of the 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA.","DOI":"10.1109\/ICRA46639.2022.9811539"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.inffus.2017.10.006","article-title":"A survey on deep learning for big data","volume":"42","author":"Zhang","year":"2018","journal-title":"Inf. Fusion"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-014-0007-7","article-title":"Deep learning applications and challenges in big data analytics","volume":"2","author":"Najafabadi","year":"2015","journal-title":"J. Big Data"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1109\/ACCESS.2014.2325029","article-title":"Big data deep learning: Challenges and perspectives","volume":"2","author":"Chen","year":"2014","journal-title":"IEEE Access"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"104090","DOI":"10.1016\/j.apergo.2023.104090","article-title":"Human activity recognition in an end-of-life consumer electronics disassembly task","volume":"113","author":"Chen","year":"2023","journal-title":"Appl. Ergon."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Ma, L., Gong, J., Xu, H., Chen, H., Zhao, H., Huang, W., and Zhou, G. (June, January 29). Planning assembly sequence with graph transformer. Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK.","DOI":"10.1109\/ICRA48891.2023.10160424"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"100094","DOI":"10.1016\/j.array.2021.100094","article-title":"Deep learning computer vision for robotic disassembly and servicing applications","volume":"12","author":"Brogan","year":"2021","journal-title":"Array"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.procir.2019.04.080","article-title":"Deep learning-based human motion prediction considering context awareness for human-robot collaboration in manufacturing","volume":"83","author":"Liu","year":"2019","journal-title":"Procedia Cirp"},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"2732","DOI":"10.1109\/TNNLS.2022.3191021","article-title":"Distributed neural networks training for robotic manipulation with consensus algorithm","volume":"35","author":"Liu","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"5778","DOI":"10.1109\/TNNLS.2022.3209154","article-title":"Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment","volume":"35","author":"Chai","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_134","doi-asserted-by":"crossref","unstructured":"Liu, W., Niu, H., Caliskanelli, I., Xu, Z., and Skilton, R. (2024, January 25\u201327). Consensus-based Deep Reinforcement Learning for Mobile Robot Mapless Navigation. Proceedings of the 2024 IEEE International Conference on Industrial Technology (ICIT), Bristol, UK.","DOI":"10.1109\/ICIT58233.2024.10540762"},{"key":"ref_135","doi-asserted-by":"crossref","unstructured":"Liu, W., Niu, H., Pan, W., Herrmann, G., and Carrasco, J. (June, January 29). Sim-and-real reinforcement learning for manipulation: A consensus-based approach. Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK.","DOI":"10.1109\/ICRA48891.2023.10161062"},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Liu, W., Niu, H., Skilton, R., and Carrasco, J. (2023, January 13\u201315). Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place. Proceedings of the Annual Conference Towards Autonomous Robotic Systems, Cambridge, UK.","DOI":"10.1007\/978-3-031-43360-3_20"},{"key":"ref_137","unstructured":"Ghasemipour, S.K.S., Kataoka, S., David, B., Freeman, D., Gu, S.S., and Mordatch, I. (2022, January 17\u201323). Blocks assemble! learning to assemble with large-scale structured reinforcement learning. Proceedings of the International Conference on Machine Learning, Baltimore, MD, USA."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"107615","DOI":"10.1016\/j.ijpe.2020.107615","article-title":"Search algorithm of the assembly sequence of products by using past learning results","volume":"226","author":"Watanabe","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_139","doi-asserted-by":"crossref","unstructured":"Simoni\u010d, M., \u017dlajpah, L., Ude, A., and Nemec, B. (2019, January 15\u201317). Autonomous learning of assembly tasks from the corresponding disassembly tasks. Proceedings of the 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), Toronto, ON, Canada.","DOI":"10.1109\/Humanoids43949.2019.9035052"},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"10934","DOI":"10.1109\/TII.2023.3242831","article-title":"Robotic disassembly task training and skill transfer using reinforcement learning","volume":"19","author":"Qu","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"104006","DOI":"10.1016\/j.autcon.2021.104006","article-title":"Robotic architectural assembly with tactile skills: Simulation and optimization","volume":"133","author":"Belousov","year":"2022","journal-title":"Autom. Constr."},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Zakka, K., Zeng, A., Lee, J., and Song, S. (August, January 31). Form2fit: Learning shape priors for generalizable assembly from disassembly. Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France.","DOI":"10.1109\/ICRA40945.2020.9196733"},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"102432","DOI":"10.1016\/j.rcim.2022.102432","article-title":"Human\u2013robot collaboration and machine learning: A systematic review of recent research","volume":"79","author":"Semeraro","year":"2023","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"23441","DOI":"10.1007\/s00521-021-06449-x","article-title":"Human\u2013robot skill transmission for mobile robot via learning by demonstration","volume":"35","author":"Li","year":"2023","journal-title":"Neural Comput. Appl."},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"27","DOI":"10.5772\/53939","article-title":"Safe human-robot cooperation in an industrial environment","volume":"10","author":"Pedrocchi","year":"2013","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.procir.2015.08.014","article-title":"Design considerations for safe human-robot collaborative workplaces","volume":"37","author":"Michalos","year":"2015","journal-title":"Procedia CIrP"},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.promfg.2017.07.221","article-title":"Teaching assembly by demonstration using advanced human robot interaction and a knowledge integration framework","volume":"11","author":"Haage","year":"2017","journal-title":"Procedia Manuf."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.robot.2017.10.002","article-title":"Automated assembly skill acquisition and implementation through human demonstration","volume":"99","author":"Gu","year":"2018","journal-title":"Robot. Auton. Syst."},{"key":"ref_149","unstructured":"Monarch, R.M. (2021). Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI, Simon and Schuster."},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Tian, S., Liang, X., and Zheng, M. (June, January 31). An optimization-based human behavior modeling and prediction for human-robot collaborative disassembly. Proceedings of the 2023 American Control Conference (ACC), San Diego, CA, USA.","DOI":"10.23919\/ACC55779.2023.10156342"},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1007\/s10514-021-10020-x","article-title":"Autonomous assembly planning of demonstrated skills with reinforcement learning in simulation","volume":"45","author":"Verstraten","year":"2021","journal-title":"Auton. Robot."},{"key":"ref_152","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s10514-018-9725-6","article-title":"Robot learning of industrial assembly task via human demonstrations","volume":"43","author":"Kyrarini","year":"2019","journal-title":"Auton. Robot."},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1109\/TASE.2018.2840345","article-title":"Facilitating human\u2013robot collaborative tasks by teaching-learning-collaboration from human demonstrations","volume":"16","author":"Wang","year":"2018","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"102231","DOI":"10.1016\/j.rcim.2021.102231","article-title":"A survey of robot learning strategies for human-robot collaboration in industrial settings","volume":"73","author":"Mukherjee","year":"2022","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1016\/j.cirp.2019.05.002","article-title":"Symbiotic human-robot collaborative assembly","volume":"68","author":"Wang","year":"2019","journal-title":"CIRP Ann."},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"26754","DOI":"10.1109\/ACCESS.2017.2773127","article-title":"Working together: A review on safe human-robot collaboration in industrial environments","volume":"5","author":"Becerra","year":"2017","journal-title":"IEEE Access"},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"102170","DOI":"10.1016\/j.rcim.2021.102170","article-title":"Human-robot collaboration disassembly planning for end-of-life product disassembly process","volume":"71","author":"Parsa","year":"2021","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"107189","DOI":"10.1016\/j.cie.2021.107189","article-title":"An experimental human-robot collaborative disassembly cell","volume":"155","author":"Huang","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/LRA.2016.2535907","article-title":"A hierarchical human-robot interaction-planning framework for task allocation in collaborative industrial assembly processes","volume":"2","author":"Johannsmeier","year":"2016","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1109\/TASE.2022.3215584","article-title":"An integrated hand-object dense pose estimation approach with explicit occlusion awareness for human-robot collaborative disassembly","volume":"21","author":"Fan","year":"2022","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_161","doi-asserted-by":"crossref","first-page":"102306","DOI":"10.1016\/j.rcim.2021.102306","article-title":"Task allocation and planning for product disassembly with human\u2013robot collaboration","volume":"76","author":"Lee","year":"2022","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1007\/s12008-022-00908-y","article-title":"Product disassembly planning and task allocation based on human and robot collaboration","volume":"16","author":"Belhadj","year":"2022","journal-title":"Int. J. Interact. Des. Manuf. (IJIDeM)"},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1108\/IR-11-2018-0231","article-title":"Complexity-based task allocation in human-robot collaborative assembly","volume":"46","author":"Malik","year":"2019","journal-title":"Ind. Robot. Int. J. Robot. Res. Appl."},{"key":"ref_164","unstructured":"Amor, H.B., Neumann, G., Kamthe, S., Kroemer, O., and Peters, J. (7, January 31). Interaction primitives for human-robot cooperation tasks. Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China."},{"key":"ref_165","doi-asserted-by":"crossref","unstructured":"Lasota, P.A., Rossano, G.F., and Shah, J.A. (2014, January 18\u201322). Toward safe close-proximity human-robot interaction with standard industrial robots. Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering (CASE), New Taipei, Taiwan.","DOI":"10.1109\/CoASE.2014.6899348"},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1109\/TSMC.2020.3005340","article-title":"Learn how to assist humans through human teaching and robot learning in human\u2013robot collaborative assembly","volume":"52","author":"Sun","year":"2020","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_167","doi-asserted-by":"crossref","unstructured":"El Makrini, I., Merckaert, K., Lefeber, D., and Vanderborght, B. (2017, January 24\u201328). Design of a collaborative architecture for human-robot assembly tasks. Proceedings of the 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada.","DOI":"10.1109\/IROS.2017.8205971"},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"7325","DOI":"10.1109\/LRA.2021.3095513","article-title":"Probabilistic decision model for adaptive task planning in human-robot collaborative assembly based on designer and operator intents","volume":"6","author":"Cramer","year":"2021","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_169","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.cag.2009.10.007","article-title":"Interactive path planning for haptic assistance in assembly tasks","volume":"34","author":"Ladeveze","year":"2010","journal-title":"Comput. Graph."},{"key":"ref_170","first-page":"1455","article-title":"Unfastening of hexagonal headed screws by a collaborative robot","volume":"17","author":"Li","year":"2020","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.procir.2019.03.121","article-title":"Robotic task oriented knowledge graph for human-robot collaboration in disassembly","volume":"83","author":"Ding","year":"2019","journal-title":"Procedia CIRP"},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1109\/TSMC.2022.3185889","article-title":"Robot-assisted disassembly sequence planning with real-time human motion prediction","volume":"53","author":"Lee","year":"2022","journal-title":"IEEE Trans. Syst. Man, Cybern. Syst."},{"key":"ref_173","doi-asserted-by":"crossref","unstructured":"Lee, M.L., Behdad, S., Liang, X., and Zheng, M. (2020, January 1\u20133). Disassembly sequence planning considering human-robot collaboration. Proceedings of the 2020 American Control Conference (ACC), Denver, CO, USA.","DOI":"10.23919\/ACC45564.2020.9147652"},{"key":"ref_174","first-page":"17","article-title":"What is a knowledge representation?","volume":"14","author":"Davis","year":"1993","journal-title":"AI Mag."},{"key":"ref_175","doi-asserted-by":"crossref","first-page":"4187","DOI":"10.1007\/s00170-017-1077-4","article-title":"An ontology-based modelling and reasoning framework for assembly sequence planning","volume":"94","author":"Qiao","year":"2018","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_176","unstructured":"Fowler, M. (2010). Domain-Specific Languages, Addison-Wesley."},{"key":"ref_177","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.rcim.2014.08.006","article-title":"Towards robust assembly with knowledge representation for the planning domain definition language (PDDL)","volume":"33","author":"Kootbally","year":"2015","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s10462-011-9272-4","article-title":"Decision trees: A recent overview","volume":"39","author":"Kotsiantis","year":"2013","journal-title":"Artif. Intell. Rev."},{"key":"ref_179","unstructured":"LaValle, S.M., and Kuffner, J.J. (2001). Rapidly-exploring random trees: Progress and prospects. Algorithmic and Computational Robotics, A K Peters, Ltd."},{"key":"ref_180","doi-asserted-by":"crossref","unstructured":"Delamer, I.M., and Lastra, J.L.M. (2006, January 16\u201318). Ontology modeling of assembly processes and systems using semantic web services. Proceedings of the 2006 4th IEEE International Conference on Industrial Informatics, Singapore.","DOI":"10.1109\/INDIN.2006.275631"},{"key":"ref_181","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1007\/s42979-022-01043-x","article-title":"AI-based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems","volume":"3","author":"Sarker","year":"2022","journal-title":"SN Comput. Sci."},{"key":"ref_182","doi-asserted-by":"crossref","first-page":"101412","DOI":"10.1016\/j.is.2019.07.002","article-title":"Understanding and improving ontology reasoning efficiency through learning and ranking","volume":"87","author":"Kang","year":"2020","journal-title":"Inf. Syst."},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3211871","article-title":"Large-scale ontology matching: State-of-the-art analysis","volume":"51","author":"Ochieng","year":"2018","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_184","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.jmsy.2021.12.006","article-title":"Disassembly task planning for end-of-life automotive traction batteries based on ontology and partial destructive rules","volume":"62","author":"Yu","year":"2022","journal-title":"J. Manuf. Syst."},{"key":"ref_185","doi-asserted-by":"crossref","first-page":"102766","DOI":"10.1016\/j.rcim.2024.102766","article-title":"An ontology and rule-based method for human\u2013robot collaborative disassembly planning in smart remanufacturing","volume":"89","author":"Hu","year":"2024","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_186","doi-asserted-by":"crossref","unstructured":"Merdan, M., Lepuschitz, W., Meurer, T., and Vincze, M. (2010, January 7\u201310). Towards ontology-based automated disassembly systems. Proceedings of the IECON 2010-36th Annual Conference on IEEE Industrial Electronics Society, Glendale, AZ, USA.","DOI":"10.1109\/IECON.2010.5675479"},{"key":"ref_187","doi-asserted-by":"crossref","unstructured":"Frank, U. (2013). Domain-specific modeling languages: Requirements analysis and design guidelines. Domain Engineering: Product Lines, Languages, and Conceptual Models, Springer.","DOI":"10.1007\/978-3-642-36654-3_6"},{"key":"ref_188","doi-asserted-by":"crossref","unstructured":"Cheng, B.H., Combemale, B., France, R.B., J\u00e9z\u00e9quel, J.M., and Rumpe, B. (2015). On the globalization of domain-specific languages. Proceedings of the Globalizing Domain-Specific Languages: International Dagstuhl Seminar, Dagstuhl Castle, Germany, 5\u201310 October 2014, Revised Papers, Springer.","DOI":"10.1007\/978-3-319-26172-0_1"},{"key":"ref_189","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1145\/1118890.1118892","article-title":"When and how to develop domain-specific languages","volume":"37","author":"Mernik","year":"2005","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_190","doi-asserted-by":"crossref","unstructured":"Laursen, J.S., Schultz, U.P., and Ellekilde, L.P. (October, January 28). Automatic error recovery in robot assembly operations using reverse execution. Proceedings of the 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany.","DOI":"10.1109\/IROS.2015.7353609"},{"key":"ref_191","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1017\/S0263574717000613","article-title":"Modelling reversible execution of robotic assembly","volume":"36","author":"Laursen","year":"2018","journal-title":"Robotica"},{"key":"ref_192","unstructured":"Schultz, U.P., Laursen, J.S., Ellekilde, L.P., and Axelsen, H.B. (2015). Towards a domain-specific language for reversible assembly sequences. Proceedings of the Reversible Computation: 7th International Conference, RC 2015, Grenoble, France, July 16-17, 2015, Proceedings 7, Springer."},{"key":"ref_193","doi-asserted-by":"crossref","unstructured":"Haslum, P., Lipovetzky, N., Magazzeni, D., Muise, C., Brachman, R., Rossi, F., and Stone, P. (2019). An Introduction to the Planning Domain Definition Language, Springer.","DOI":"10.1007\/978-3-031-01584-7"},{"key":"ref_194","doi-asserted-by":"crossref","unstructured":"Tagliapietra, L., Tosello, E., Pagello, E., and Menegatti, E. (2021, January 14\u201316). A Planning Domain Definition Language Generator, Interpreter, and Knowledge Base for Efficient Automated Planning. Proceedings of the International Conference on Intelligent Autonomous Systems, Wuhan, China.","DOI":"10.1007\/978-3-030-95892-3_43"},{"key":"ref_195","unstructured":"Haslum, P., and Scholz, U. (2025, April 22). Domain Knowledge in Planning: Representation and Use, 2003, Volume 15, p. 69. Available online: https:\/\/www.researchgate.net\/publication\/2891078_Domain_Knowledge_in_Planning_Representation_and_Use."},{"key":"ref_196","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1049\/ccs.2019.0025","article-title":"RoboPlanner: A pragmatic task planning framework for autonomous robots","volume":"2","author":"Kattepur","year":"2020","journal-title":"Cogn. Comput. Syst."},{"key":"ref_197","unstructured":"Guimar\u00e3es, W.H.P., Ferreira, W.V.M., da Silva Fonseca, J.P., de Souza Tavares, J.J.-P.Z., and Carvalho, J.C.M. (2013, January 3\u20137). Analysis of automated planning applied to an assembly and disassembly robot system. Proceedings of the 22nd International Congress of Mechanical Engineering, Ribeir\u00e3o Preto, Brazil."},{"key":"ref_198","doi-asserted-by":"crossref","unstructured":"Lee, K., Joo, S., and Christensen, H.I. (2016, January 9\u201314). An assembly sequence generation of a product family for robot programming. Proceedings of the 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Republic of Korea.","DOI":"10.1109\/IROS.2016.7759210"},{"key":"ref_199","doi-asserted-by":"crossref","first-page":"2893","DOI":"10.1007\/s00170-020-06048-5","article-title":"Real-time discrete event simulation: A framework for an intelligent expert system approach utilising decision trees","volume":"110","author":"Prajapat","year":"2020","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_200","doi-asserted-by":"crossref","unstructured":"Rodriguez, S., Tang, X., Lien, J.M., and Amato, N.M. (2006, January 15\u201319). An obstacle-based rapidly-exploring random tree. Proceedings of the 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, Orlando, FL, USA.","DOI":"10.1109\/ROBOT.2006.1641823"},{"key":"ref_201","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.1007\/s10994-020-05901-8","article-title":"A decision-theoretic approach for model interpretability in Bayesian framework","volume":"109","author":"Afrabandpey","year":"2020","journal-title":"Mach. Learn."},{"key":"ref_202","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.robot.2015.02.007","article-title":"Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments","volume":"68","author":"Qureshi","year":"2015","journal-title":"Robot. Auton. Syst."},{"key":"ref_203","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s10846-012-9776-4","article-title":"A probabilistically robust path planning algorithm for UAVs using rapidly-exploring random trees","volume":"71","author":"Kothari","year":"2013","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_204","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S0269888997000015","article-title":"Simplifying decision trees: A survey","volume":"12","author":"Breslow","year":"1997","journal-title":"Knowl. Eng. Rev."},{"key":"ref_205","doi-asserted-by":"crossref","unstructured":"Lonklang, A., and Botzheim, J. (2022). Improved rapidly exploring random tree with bacterial mutation and node deletion for offline path planning of mobile robot. Electronics, 11.","DOI":"10.3390\/electronics11091459"},{"key":"ref_206","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_207","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.conengprac.2008.05.013","article-title":"Automatic cooperative disassembly robotic system: Task planner to distribute tasks among robots","volume":"17","author":"Torres","year":"2009","journal-title":"Control Eng. Pract."},{"key":"ref_208","doi-asserted-by":"crossref","unstructured":"Blin, N., Ta\u00efix, M., Fillatreau, P., and Fourquet, J.Y. (2016, January 9\u201314). I-rrt-c: Interactive motion planning with contact. Proceedings of the 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Republic of Korea.","DOI":"10.1109\/IROS.2016.7759625"},{"key":"ref_209","unstructured":"Yan, Y., Poirson, E., and Bennis, F. Integrating user to minimize assembly path planning time in plm. Proceedings of the Product Lifecycle Management for Society: 10th IFIP WG 5.1 International Conference, PLM 2013, Nantes, France, 6\u201310 July 2013, Proceedings 10."},{"key":"ref_210","doi-asserted-by":"crossref","unstructured":"Yi, G., Zhou, C., Cao, Y., and Hu, H. (2021). Rapid planning of an assembly path by reusing the prior path. Appl. Sci., 11.","DOI":"10.3390\/app11020633"},{"key":"ref_211","doi-asserted-by":"crossref","unstructured":"Sorostinean, R., Gellert, A., and Pirvu, B.C. (2021). Assembly assistance system with decision trees and ensemble learning. Sensors, 21.","DOI":"10.3390\/s21113580"},{"key":"ref_212","doi-asserted-by":"crossref","unstructured":"Ali, A., and Lee, J.Y. (2020). Integrated motion planning for assembly task with part manipulation using re-grasping. Appl. Sci., 10.","DOI":"10.3390\/app10030749"},{"key":"ref_213","doi-asserted-by":"crossref","unstructured":"Le, D.T., Cort\u00e9s, J., and Sim\u00e9on, T. (2009, January 17\u201320). A path planning approach to (dis) assembly sequencing. Proceedings of the 2009 IEEE International Conference on Automation Science and Engineering, Madison, WI, USA.","DOI":"10.1109\/COASE.2009.5234177"},{"key":"ref_214","doi-asserted-by":"crossref","first-page":"282","DOI":"10.3901\/CJME.2013.02.282","article-title":"Computational path planner for product assembly in complex environments","volume":"26","author":"Shang","year":"2013","journal-title":"Chin. J. Mech. Eng."},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"153396","DOI":"10.1016\/j.jnucmat.2021.153396","article-title":"Hydrogen and its detection in fusion and fission nuclear materials\u2013a review","volume":"558","author":"Taylor","year":"2022","journal-title":"J. Nucl. Mater."}],"container-title":["Big Data and Cognitive Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/5\/118\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:23:41Z","timestamp":1760030621000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-2289\/9\/5\/118"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,28]]},"references-count":215,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["bdcc9050118"],"URL":"https:\/\/doi.org\/10.3390\/bdcc9050118","relation":{},"ISSN":["2504-2289"],"issn-type":[{"type":"electronic","value":"2504-2289"}],"subject":[],"published":{"date-parts":[[2025,4,28]]}}}