{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T02:36:56Z","timestamp":1773369416198,"version":"3.50.1"},"reference-count":137,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T00:00:00Z","timestamp":1740700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union\u2014NextGenerationEU (Piano Nazionale di Ripresa e Resilienza (PNRR)\u2014Missione 4 Componente 2, Investimento 1.3-D.D.1551.11-10-2022","award":["PE00000004"],"award-info":[{"award-number":["PE00000004"]}]},{"name":"MICS\u2014Made in Italy Circular and Sustainable","award":["PE00000004"],"award-info":[{"award-number":["PE00000004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotics"],"abstract":"<jats:p>As collaborative robots (cobots) increasingly share workspaces with humans, ensuring safe physical human\u2013robot interaction (pHRI) has become paramount. This systematic review addresses safety assessment in pHRI, focussing on the industrial field, with the objective of collecting approaches and practices developed so far for modelling, simulating, and verifying possible collisions in human\u2013robot collaboration (HRC). To this aim, advances in human\u2013robot collision modelling and test-based safety evaluation over the last fifteen years were examined, identifying six main categories: human body modelling, robot modelling, collision modelling, determining safe limits, approaches for evaluating human\u2013robot contact, and biofidelic sensor development. Despite the reported advancements, several persistent challenges were identified, including the over-reliance on simplified quasi-static models, insufficient exploration of transient contact dynamics, and a lack of inclusivity in demographic data for establishing safety thresholds. This analysis also underscores the limitations of the biofidelic sensors currently used and the need for standardised validation protocols for the impact scenarios identified through risk assessment. By providing a comprehensive overview of the topic, this review aims to inspire researchers to address underexplored areas and foster innovation in developing advanced, but suitable, models to simulate human\u2013robot contact and technologies and methodologies for reliable and user-friendly safety validation approaches. Further deepening those topics, even combined with each other, will bring about the twofold effect of easing the implementation while increasing the safety of robotic applications characterised by pHRI.<\/jats:p>","DOI":"10.3390\/robotics14030027","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T04:28:18Z","timestamp":1740716898000},"page":"27","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Assessing Safety in Physical Human\u2013Robot Interaction in Industrial Settings: A Systematic Review of Contact Modelling and Impact Measuring Methods"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0562-2796","authenticated-orcid":false,"given":"Samarathunga","family":"S. M. B. P. B.","sequence":"first","affiliation":[{"name":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Via Alfonso Corti, 12, 20133 Milan, Italy"},{"name":"Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4663-9865","authenticated-orcid":false,"given":"Marcello","family":"Valori","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Via Alfonso Corti, 12, 20133 Milan, Italy"}]},{"given":"Giovanni","family":"Legnani","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6144-2123","authenticated-orcid":false,"given":"Irene","family":"Fassi","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Via Alfonso Corti, 12, 20133 Milan, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1108\/IR-02-2020-0039","article-title":"Technology jump in the industry: Human\u2013robot cooperation in production","volume":"47","author":"Dobra","year":"2020","journal-title":"Ind. Robot. Int. J. Robot. Res. Appl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TASE.2021.3131011","article-title":"Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey","volume":"19","author":"Proia","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.1080\/00207543.2020.1870758","article-title":"Deploying cobots in collaborative systems: Major considerations and productivity analysis","volume":"60","author":"Cohen","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Michaelis, J.E., Siebert-Evenstone, A., Shaffer, D.W., and Mutlu, B. (2020, January 25\u201330). Collaborative or Simply Uncaged? Understanding Human-Cobot Interactions in Automation. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.","DOI":"10.1145\/3313831.3376547"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Guertler, M., Tomidei, L., Sick, N., Carmichael, M., Paul, G., Wambsganss, A., Moreno, V.H., and Hussain, S. (2023, January 24\u201328). When is a Robot a Cobot? Moving Beyond Manufacturing and Arm-Based Cobot Manipulators. Proceedings of the Design Society, Bordeaux, France.","DOI":"10.1017\/pds.2023.390"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Borboni, A., Reddy, K.V.V., Elamvazuthi, I., Al-Quraishi, M.S., Natarajan, E., and Ali, S.S.A. (2023). The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works. Machines, 11.","DOI":"10.3390\/machines11010111"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Park, J., Sorensen, L.C., Mathiesen, S.F., and Schlette, C. (2022, January 9\u201312). A Digital Twin-based Workspace Monitoring System for Safe Human-Robot Collaboration. Proceedings of the 2022 10th International Conference on Control, Mechatronics and Automation, ICCMA 2022, Luxembourg.","DOI":"10.1109\/ICCMA56665.2022.10011622"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Faria, C., Colim, A., Cunha, J., Oliveira, J., Costa, N., Carneiro, P., Monteiro, S., Bicho, E., Rocha, L.A., and Arezes, P. (2020). Safety Requirements for the Design of Collaborative Robotic Workstations in Europe\u2014A Review, Springer.","DOI":"10.1007\/978-3-030-50946-0_31"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1109\/TASE.2020.3043286","article-title":"A Multimodal Approach to Human Safety in Collaborative Robotic Workcells","volume":"19","author":"Costanzo","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"104832","DOI":"10.1016\/j.ssci.2020.104832","article-title":"Orienting safety assurance with outcomes of hazard analysis and risk assessment: A review of the ISO 15066 standard for collaborative robot systems","volume":"129","author":"Chemweno","year":"2020","journal-title":"Saf. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.jsr.2020.06.013","article-title":"Collaborative robotics: New era of human\u2013robot cooperation in the workplace","volume":"74","author":"Franklin","year":"2020","journal-title":"J. Saf. Res."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Hamad, M., Nertinger, S., Kirschner, R.J., Figueredo, L., Naceri, A., and Haddadin, S. (2023). A Concise Overview of Safety Aspects in Human-Robot Interaction. Human-Friendly Robotics 2023, Springer.","DOI":"10.1007\/978-3-031-55000-3_1"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zacharaki, A., Kostavelis, I., Gasteratos, A., and Dokas, I. (2020). Safety Bounds in Human Robot Interaction: A Survey, Elsevier.","DOI":"10.1016\/j.ssci.2020.104667"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Gualtieri, L., Rauch, E., Vidoni, R., and Matt, D.T. (2020). Safety, Ergonomics and Efficiency in Human-Robot Collaborative Assembly: Design Guidelines and Requirements. Procedia CIRP, Elsevier.","DOI":"10.1016\/j.procir.2020.02.188"},{"key":"ref_15","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_16","doi-asserted-by":"crossref","unstructured":"Chiriatti, G., Palmieri, G., Scoccia, C., Palpacelli, M.C., and Callegari, M. (2021). Adaptive obstacle avoidance for a class of collaborative robots. Machines, 9.","DOI":"10.3390\/machines9060113"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6687","DOI":"10.1007\/s00500-019-04306-7","article-title":"Human\u2013robot collisions detection for safe human\u2013robot interaction using one multi-input\u2013output neural network","volume":"24","author":"Sharkawy","year":"2019","journal-title":"Soft Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Bi, Z., Luo, C., Miao, Z., Zhang, B., Zhang, W., and Wang, L. (2020). Safety Assurance Mechanisms of Collaborative Robotic Systems in Manufacturing, Elsevier.","DOI":"10.1016\/j.rcim.2020.102022"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Robla-G\u00f3mez, S., Becerra, V.M., Llata, J.R., Gonz\u00e1lez-Sarabia, E., Torre-Ferrero, C., and P\u00e9rez-Oria, J. (2017). Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments, Institute of Electrical and Electronics Engineers Inc.","DOI":"10.1109\/ACCESS.2017.2773127"},{"key":"ref_20","unstructured":"(2016). 2016\u2014Robots and Robotic Devices\u2014Collaborative Robots (Standard No. ISO\/TS 15066)."},{"key":"ref_21","unstructured":"(2025). Robotics\u2014Safety Requirements Part 1: Industrial Robots (Standard No. ISO 10218-1)."},{"key":"ref_22","unstructured":"(2025). Robotics\u2014Safety Requirements Part 2: Industrial Robot Applications and Robot Cells (Standard No. ISO 10218-2)."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/THMS.2022.3213416","article-title":"An Online Toolkit for Applications Featuring Collaborative Robots Across Different Domains","volume":"53","author":"Saenz","year":"2022","journal-title":"IEEE Trans. Hum. Mach. Syst."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Huo, Y., Li, X., Zhang, X., and Sun, D. (2021, January 12\u201316). Intention-driven variable impedance control for physical human-robot interaction. Proceedings of the IEEE\/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Delft, The Netherlands.","DOI":"10.1109\/AIM46487.2021.9517438"},{"key":"ref_25","first-page":"253","article-title":"An atlas of physical human-robot interaction","volume":"43","author":"Siciliano","year":"2007","journal-title":"Mech. Mach. Theory"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1430001","DOI":"10.1142\/S0219843614300013","article-title":"Compliance control and human-Robot interaction: Part 1-survey","volume":"11","author":"Khan","year":"2014","journal-title":"Int. J. Humanoid Robot."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Losey, D.P., McDonald, C.G., Battaglia, E., and O\u2019Malley, M.K. (2018). A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human\u2013Robot Interaction, American Society of Mechanical Engineers (ASME).","DOI":"10.1115\/1.4039145"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Selvaggio, M., Cognetti, M., Nikolaidis, S., Ivaldi, S., and Siciliano, B. (2021). Autonomy in Physical Human-Robot Interaction: A Brief Survey, Institute of Electrical and Electronics Engineers Inc.","DOI":"10.1109\/LRA.2021.3100603"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Xue, T., Wang, W., Ma, J., Liu, W., Pan, Z., and Han, M. (2020). Progress and Prospects of Multimodal Fusion Methods in Physical Human-Robot Interaction: A Review, Institute of Electrical and Electronics Engineers Inc.","DOI":"10.1109\/JSEN.2020.2995271"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"104829","DOI":"10.1016\/j.robot.2024.104829","article-title":"The path towards contact-based physical human\u2013robot interaction","volume":"182","author":"Farajtabar","year":"2024","journal-title":"Robot. Auton. Syst."},{"key":"ref_31","unstructured":"Miro, M., Glogowski, P., Lemmerz, K., Kuhlenkoetter, B., Gualtieri, L., Rauch, E., Gkournelos, C., Makris, S., Plapper, P., and Kumar, A.A. (2022, January 20\u201321). Simulation Technology and Application of Safe Collaborative Operations in Human-Robot Interaction. Proceedings of the ISR Europe 2022; 54th International Symposium on Robotics, Munich, Germany."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"106313","DOI":"10.1016\/j.ssci.2023.106313","article-title":"Occupational health and safety issues in human-robot collaboration: State of the art and open challenges","volume":"169","author":"Giallanza","year":"2024","journal-title":"Saf. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Gualtieri, L., Rauch, E., and Vidoni, R. (2021). Emerging Research Fields in Safety and Ergonomics in Industrial Collaborative Robotics: A Systematic Literature Review, Elsevier Ltd.","DOI":"10.1016\/j.rcim.2020.101998"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Valori, M., Scibilia, A., Fassi, I., Saenz, J., Behrens, R., Herbster, S., Bidard, C., Lucet, E., Magisson, A., and Schaake, L. (2021). Validating safety in human\u2013robot collaboration: Standards and new perspectives. Robotics, 10.","DOI":"10.3390\/robotics10020065"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Shin, H., Choi, J., Choi, J., and Rhim, S. (2017, January 29\u201331). Physical safety analysis of robot considering impactor shape. Proceedings of the 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE 2017), Shanghai, China.","DOI":"10.1109\/ICRAE.2017.8291342"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Rajaei, N., Fujikawa, T., and Yamada, Y. (2021, January 4\u20136). Experimental investigation of human soft tissue behavior for constructing human-robot contact force-displacement measuring system. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419555"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Povse, B., Koritnik, D., Bajd, T., and Munih, M. (2012, January 5\u20138). Mechanical model of human lower arm. Proceedings of the Seventh Annual ACM\/IEEE International Conference on Human-Robot Interaction, Boston, MA, USA.","DOI":"10.1145\/2157689.2157759"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/s41315-018-0055-9","article-title":"A design metric for safety assessment of industrial robot design suitable for power- and force-limited collaborative operation","volume":"2","author":"Vemula","year":"2018","journal-title":"Int. J. Intell. Robot. Appl."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Lee, K.H., Lee, H.J., Lee, J., Ji, S.-H., and Koo, J.C. (July, January 28). A simple method to estimate the impedance of the human hand for physical human-robot interaction. Proceedings of the 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, Republic of Korea.","DOI":"10.1109\/URAI.2017.7992697"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2662","DOI":"10.1109\/TMECH.2018.2875690","article-title":"Enhanced Transparency for Physical Human-Robot Interaction Using Human Hand Impedance Compensation","volume":"23","author":"Lee","year":"2018","journal-title":"IEEE\/ASME Trans. Mechatronics"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Courreges, F., Laribi, M.A., Arsicault, M., and Zeghloul, S. (2016). An in vivo experiment to assess the validity of the log linearized hunt-crossley model for contacts of robots with the human abdomen. Mechanisms and Machine Science, Kluwer Academic Publishers.","DOI":"10.1007\/978-3-319-22368-1_21"},{"key":"ref_42","first-page":"1376","article-title":"In vivo and in vitro comparative assessment of the log-linearized Hunt\u2013Crossley model for impact-contact modeling in physical human\u2013robot interactions","volume":"233","author":"Courreges","year":"2019","journal-title":"Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1007\/s41315-021-00213-z","article-title":"An Improved Equivalent Impact Model of Human Thorax for Human-Robot Collaboration","volume":"6","author":"Dong","year":"2021","journal-title":"Int. J. Intell. Robot. Appl."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Lacerda, C.M.F., Melo, L.D.P., Lahr, G.J.G., Becker, M., and Caurin, G.A.P. (2021, January 15\u201318). Physical interaction analysis of the human body dorsal region with a robotic manipulator. Proceedings of the 2021 14th IEEE International Conference on Industry Applications, INDUSCON 2021\u2013Proceedings, S\u00e3o Paulo, Brazil.","DOI":"10.1109\/INDUSCON51756.2021.9529638"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1177\/027836499501400103","article-title":"Inertial Properties in Robotic Manipulation: An Object-Level Framework","volume":"14","author":"Khatib","year":"1995","journal-title":"Int. J. Robot. Res."},{"key":"ref_46","unstructured":"Lee, S.-D., and Song, J.-B. (2011, January 23\u201326). Guideline for determination of link mass of a robot arm for collision safety. Proceedings of the 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) Incheon, Republic of Korea."},{"key":"ref_47","unstructured":"Lee, S.-D., Kim, B.-S., and Song, J.-B. (2012, January 14\u201318). Guideline for determination of link length of a 3 DOF planar manipulator for human-robot collision safety. Proceedings of the 2012 IEEE International Conference on Robotics and Automation, St Paul, Minnesota."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/01691864.2012.754076","article-title":"Human\u2013robot collision model with effective mass and manipulability for design of a spatial manipulator","volume":"27","author":"Lee","year":"2013","journal-title":"Adv. Robot."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Kirschner, R.J., Mansfeld, N., Pena, G.G., Abdolshah, S., and Haddadin, S. (2021, January 4\u20136). Notion on the correct use of the robot effective mass in the safety context and comments on ISO\/TS 15066. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419495"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Steinecker, T., Kurdas, A., Mansfeld, N., Hamad, M., Kirschner, R.J., Abdolshah, S., and Haddadin, S. (2022, January 23\u201327). Mean Reflected Mass: A Physically Interpretable Metric for Safety Assessment and Posture Optimization in Human-Robot Interaction. Proceedings of the Proceedings\u2013IEEE International Conference on Robotics and Automation, Philadelphia, PA, USA.","DOI":"10.1109\/ICRA46639.2022.9811582"},{"key":"ref_51","first-page":"1","article-title":"A Reduced Mass-Spring-Mass-Model of Compliant Robots Dedicated to the Evaluation of Impact Forces","volume":"16","author":"Jeanneau","year":"2023","journal-title":"J. Mech. Robot."},{"key":"ref_52","unstructured":"Stuhlenmiller, F., Wahrburg, A., Clever, D., Enayati, N., and Benzi, F. (September, January 28). Optimal robot motion planning for human-robot collaboration considering power and force limiting. Proceedings of the IEEE International Conference on Automation Science and Engineering, Bari, Italy."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Park, J.J., Haddadin, S., Song, J.B., and Albu-Sch\u00e4ffer, A. (2011, January 9\u201313). Designing optimally safe robot surface properties for minimizing the stress characteristics of human-robot collisions. Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China.","DOI":"10.1109\/ICRA.2011.5980282"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.1017\/S0263574714000137","article-title":"Collision analysis and safety evaluation using a collision model for the frontal robot-human impact","volume":"33","author":"Park","year":"2014","journal-title":"Robotica"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Liang, J., Meng, D., Wang, X., Liang, B., and She, Y. (2017, January 26\u201328). Modeling and optimization of head-collision of a flexible joint robot. Proceedings of the 2017 36th Chinese Control Conference (CCC), Dalian, China.","DOI":"10.23919\/ChiCC.2017.8028450"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Vemula, B.R., Ramteen, M., Spampinato, G., and Fagerstrom, B. (2017, January 5\u20137). Human-robot impact model: For safety assessment of collaborative robot design. Proceedings of the 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), Ottawa, ON, Canada.","DOI":"10.1109\/IRIS.2017.8250128"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/s11044-016-9513-z","article-title":"Evaluation of head-collision safety of a 7-DOF manipulator according to posture variation","volume":"37","author":"Kim","year":"2016","journal-title":"Multibody Syst. Dyn."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Shin, H., Seo, K., and Rhim, S. (2018, January 26\u201330). Allowable Maximum Safe Velocity Control based on Human-Robot Distance for Collaborative Robot. Proceedings of the 2018 15th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA.","DOI":"10.1109\/URAI.2018.8441887"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Shin, H., Kim, S., Seo, K., and Rhim, S. (2019, January 25\u201327). A Real-Time Human-Robot Collision Safety Evaluation Method for Collaborative Robot. Proceedings of the 3rd IEEE International Conference on Robotic Computing, IRC 2019, Naples, Italy.","DOI":"10.1109\/IRC.2019.00106"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Liu, J., Yamada, Y., and Akiyama, Y. (2021, January 4\u20136). Calculating the supplied energy for physical human-robot interaction. Proceedings of the ISR 2021\u20142021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419517"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Higuchi, Y.-K., Fujikawa, T., Sugiura, R., Nishimoto, T., and Sato, F. (2021, January 4\u20136). Development of a porcine thigh finite element model for evaluating the soft-tissue injuries caused by blunt impacts during human-robot interactions. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419540"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"8582","DOI":"10.1109\/LRA.2022.3188886","article-title":"Robustness of Interaction Parameters Identification Technique for Collaborative Robots","volume":"7","author":"Popov","year":"2022","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_63","unstructured":"Byner, C., Clever, D., Staab, H., and Matthias, B. (2022, January 20\u201321). An extended two-mass model for clamping hazards in human-robot-collaboration: Peak forces and permissible speeds. Proceedings of the ISR Europe 2022; 54th International Symposium on Robotics, Munich, Germany."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Herbster, S., Behrens, R., and Elkmann, N. (2023). Modeling the Contact Force in Constrained Human\u2013Robot Collisions. Machines, 11.","DOI":"10.3390\/machines11100955"},{"key":"ref_65","unstructured":"Clever, D., Byner, C., Staab, H., and Matthias, B. (2022, January 20\u201321). On Peak and Integral Criteria to Assess Physical Contact in Human-Robot-Collaboration (HRC). Proceedings of the ISR Europe 2022; 54th International Symposium on Robotics, Munich, Germany."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Samarathunga, S.M.B.P.B., Bertagna, A., Fassi, I., Valori, M., Pagani, R., Vetturi, D., and Legnani, G. (2024, January 2\u20134). A Pendulum Approach to Understanding the Dynamics of Transient Contact in Human-Robot Collaboration. Proceedings of the MESA 2024\u201320th International Conference on Mechatronic, Embedded Systems and Applications, Proceedings, Genova, Italy.","DOI":"10.1109\/MESA61532.2024.10704881"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Mujica, M., Benoussaad, M., and Fourquet, J.-Y. (2022, January 11\u201313). Simulated Framework for Physical Human-Robot Collaboration to Co-Manipulate Objects. Proceedings of the 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Singapore.","DOI":"10.1109\/ICARCV57592.2022.10004230"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"105439","DOI":"10.1016\/j.mechmachtheory.2023.105439","article-title":"Collaborative robot dynamics with physical human\u2013robot interaction and parameter identification with PINN","volume":"189","author":"Yang","year":"2023","journal-title":"Mech. Mach. Theory"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Liping, W. (2023, January 23\u201325). Analysis of Force Absorption in Human-Robot-Collaboration. Proceedings of the ICIIBMS 2023\u20138th International Conference on Intelligent Informatics and Biomedical Sciences, Okinawa, Japan.","DOI":"10.1109\/ICIIBMS60103.2023.10347815"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Mohammad, A., Schappler, M., Habich, T.-L., and Ortmaier, T. (2023, January 1\u20135). Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration. Proceedings of the 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA.","DOI":"10.1109\/IROS55552.2023.10341581"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s12369-010-0053-z","article-title":"Safety analysis for a human-friendly manipulator","volume":"2","author":"Haddadin","year":"2010","journal-title":"Int. J. Soc. Robot."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Haddadin, S., Albu-Sch\u00e4ffer, A., and Hirzinger, G. (2010). Safe Physical Human-Robot Interaction: Measurements, Analysis and New Insights, Springer.","DOI":"10.1007\/978-3-642-14743-2_33"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Haddadin, S., Albu-Sch\u00e4ffer, A., and Hirzinger, G. (2010, January 3\u20137). Soft-tissue injury in robotics. Proceedings of the 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA.","DOI":"10.1109\/ROBOT.2010.5509854"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MRA.2011.942996","article-title":"An Experimental Safety Study for Stab\/Puncture and Incised Wounds","volume":"18","author":"Haddadin","year":"2011","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Povse, B., Koritnik, D., Bajd, T., and Munih, M. (2010, January 26\u201329). Correlation between impact-energy density and pain intensity during robot-man collision. Proceedings of the 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Tokyo, Japan.","DOI":"10.1109\/BIOROB.2010.5626073"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Ito, S., Yamada, Y., Hattori, T., Okamoto, S., and Hara, S. (2012, January 11\u201314). Basic experiments on collision of sharp mechanical hazards against eye for estimation of injury severity. Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China.","DOI":"10.1109\/ROBIO.2012.6491247"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Fujikawa, T., Kubota, M., Yamada, Y., and Ikeda, H. (2013, January 3\u20137). Estimating child collision injury based on automotive accident data for risk assessment of mobile robots. Proceedings of the 2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan.","DOI":"10.1109\/IROS.2013.6696767"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Behrens, R., and Elkmann, N. (June, January 31). Study on meaningful and verified Thresholds for minimizing the consequences of human-robot collisions. Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China.","DOI":"10.1109\/ICRA.2014.6907345"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Behrens, R., and Elkmann, N. (2021, January 4\u20136). A revised framework for managing the complexity of contact hazards in collaborative robotics. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419528"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Behrens, R., Pliske, G., Umbreit, M., Piatek, S., Walcher, F., and Elkmann, N. (2022). A Statistical Model to Determine Biomechanical Limits for Physically Safe Interactions with Collaborative Robots. Front. Robot. AI, 8.","DOI":"10.3389\/frobt.2021.667818"},{"key":"ref_81","unstructured":"Kirschner, R.J., Jantalia, J., Mansfeld, N., Abdolshah, S., and Haddadin, S. (June, January 30). CSM: Contact Sensitivity Maps for Benchmarking Robot Collision Handling Systems. Proceedings of the IEEE International Conference on Robotics and Automation, Xi\u2019an, China."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Han, D., Park, M.Y., Choi, J., Shin, H., and Rhim, S. (2021, January 4\u20136). Analysis of human-robot physical interaction at collision. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419556"},{"key":"ref_83","unstructured":"Rela\u00f1o, C., Sanz-Merodio, D., L\u00f3pez, M., and Monje, C.A. (June, January 30). Generalization of Impact Response Factors for Proprioceptive Collaborative Robots. Proceedings of the IEEE International Conference on Robotics and Automation, Xi\u2019an, China."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.mechmachtheory.2014.06.004","article-title":"Experimental tests in human-robot collision evaluation and characterization of a new safety index for robot operation","volume":"80","author":"Cordero","year":"2014","journal-title":"Mech. Mach. Theory"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Han, D., Park, M.Y., Shin, H., Kim, K.S., and Rhim, S. (2018, January 26\u201330). Identifying Safety Conditions of Human-Robot Collision based on Skin Injury Analysis. Proceedings of the 2018 15th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA.","DOI":"10.1109\/URAI.2018.8441793"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Sugiura, R., Fujikawa, T., Nishikata, R., and Nishimoto, T. (2019, January 15\u201318). Soft Tissue Bruise Injury by Blunt Impact in Human-Robot Interaction\u2013Difference of Tolerance between Chest and Extremities. Proceedings of the 2019 19th International Conference on Control, Automation and Systems (ICCAS), Jeju, Republic of Korea.","DOI":"10.23919\/ICCAS47443.2019.8971656"},{"key":"ref_87","unstructured":"Staab, H., Byner, C., Clever, D., and Matthias, B. (2020, January 9\u201310). A Pendulum Apparatus to Evaluate Unconstrained Human-Robot Contact. Proceedings of the ISR 2020; 52th International Symposium on Robotics, Munich, Germany."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Fujikawa, T., Sugiura, R., Nishikata, R., and Nishimoto, T. (2017, January 18\u201321). Critical contact pressure and transferred energy for soft tissue injury by blunt impact in human-robot interaction. Proceedings of the 2017 17th International Conference on Control, Automation and Systems (ICCAS), Jeju, Republic of Korea.","DOI":"10.23919\/ICCAS.2017.8204347"},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Fujikawa, T., Okai, K., Yamada, Y., Rajaei, N., and Nishimoto, T. (2017, January 18\u201321). Development of In-Vivo Rabbit Model of Human Finger Skin Injuries for Determining Safety Criteria for Human-Robot Contact. Proceedings of the 2023 23rd International Conference on Control, Automation and Systems (ICCAS), Jeju, Republic of Korea.","DOI":"10.23919\/ICCAS59377.2023.10316976"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"H\u00fcsing, E., Ca\u00f1ari, J., and Corves, B. (2023). Rounded Edges and Chamfers as a Protective Measure in Quasi-Static Contact Events. Mechanisms and Machine Science, Springer Science and Business Media B.V.","DOI":"10.1007\/978-3-031-45770-8_20"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Park, M.Y., Han, D., Lim, J.H., Shin, M.K., Han, Y.R., Kim, D.H., Rhim, S., and Kim, K.S. (2019). Assessment of pressure pain thresholds in collisions with collaborative robots. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0215890"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"4424","DOI":"10.17973\/MMSJ.2021_6_2021037","article-title":"Power and force limiting technique at collaborative workplace","volume":"2021","author":"Virgala","year":"2021","journal-title":"MM Sci. J."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Hamad, M., Kurdas, A., Abdolshah, S., and Haddadin, S. (2021, January 4\u20136). A robotics perspective on experimental injury biomechanics of human body upper extremities. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419570"},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Han, D., Park, M., Choi, J., Shin, H., Kim, D., and Rhim, S. (2022). Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations. Sensors, 22.","DOI":"10.3390\/s22082996"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Han, D., Park, M.Y., Choi, J., Shin, H., Behrens, R., and Rhim, S. (2024). Evaluation of force pain thresholds to ensure collision safety in worker-robot collaborative operations. Front. Robot. AI, 11.","DOI":"10.3389\/frobt.2024.1374999"},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Behrens, R., Zimmermann, J., Wang, Z., Herbster, S., and Elkmann, N. (2024). Development of Biomechanical Response Curves for the Calibration of Biofidelic Measuring Devices Used in Robot Collision Testing. J. Biomech. Eng., 146.","DOI":"10.1115\/1.4064448"},{"key":"ref_97","unstructured":"Kirschner, R.J., Micheler, C.M., Zhou, Y., Siegner, S., Hamad, M., Glowalla, C., Neumann, J., Rajaei, N., Burgkart, R., and Haddadin, S. (June, January 30). Towards Safe Robot Use with Edged or Pointed Objects: A Surrogate Study Assembling a Human Hand Injury Protection Database. Proceedings of the IEEE International Conference on Robotics and Automation, Xi\u2019an, China."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Haddadin, S., Parusel, S., Belder, R., Vogel, J., Rokahr, T., Albu-Sch\u00e4ffer, A., and Hirzinger, G. (2010, January 18\u201322). Holistic design and analysis for the human-friendly robotic co-worker. Proceedings of the 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan.","DOI":"10.1109\/IROS.2010.5650636"},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Haddadin, S., and Croft, E. (2016). Physical Human\u2013Robot Interaction, Springer Handbook of Robotics.","DOI":"10.1007\/978-3-319-32552-1_69"},{"key":"ref_100","unstructured":"Matthias, B., Oberer-Treitz, S., and Ding, H. (2014, January 2\u20133). Experimental Characterization of Collaborative Robot Collisions. Proceedings of the ISR\/Robotik 2014; 41st International Symposium on Robotics, Berlin, Germany."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Povse, B., Koritnik, D., Kamnik, R., Bajd, T., and Munih, M. (2010, January 10\u201313). Industrial robot and human operator collision. Proceedings of the 2010 IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey.","DOI":"10.1109\/ICSMC.2010.5641897"},{"key":"ref_102","unstructured":"Oberer-Treitz, S., Puzik, A., and Verl, A. (2010, January 7\u20139). Measuring the Collision Potential of Industrial Robots. Proceedings of the ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), Munich, Germany."},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Oberer-Treitz, S., Dietz, T., and Verl, A. (2013, January 24\u201326). Safety in industrial applications: From fixed fences to direct interaction. Proceedings of the IEEE ISR 2013, Seoul, Republic of Korea.","DOI":"10.1109\/ISR.2013.6695745"},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Dombrowski, U., Stefanak, T., and Reimer, A. (2018). Simulation of human-robot collaboration by means of power and force limiting. Procedia Manufacturing, Elsevier.","DOI":"10.1016\/j.promfg.2018.10.028"},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Fischer, C., Steiner, M., Neuhold, M., Papa, M., Markis, A., and Schlund, S. (2022). An Investigation of the Measurement of Transient Contacts in Human-Robot Interaction. Mechanisms and Machine Science, Springer Science and Business Media.","DOI":"10.1007\/978-3-031-04870-8_64"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"118395","DOI":"10.1109\/ACCESS.2023.3327301","article-title":"Collision Tests in Human-Robot Collaboration: Experiments on the Influence of Additional Impact Parameters on Safety","volume":"11","author":"Fischer","year":"2023","journal-title":"IEEE Access"},{"key":"ref_107","unstructured":"Matthias, B., and Reisinger, T. (2016, January 21\u201322). Example Application of ISO\/TS 15066 to a Collaborative Assembly Scenario. Proceedings of the ISR 2016: 47st International Symposium on Robotics, Munich, Germany."},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Rosenstrauch, M.J., and Kruger, J. (2017, January 22\u201324). Safe human-robot-collaboration-introduction and experiment using ISO\/TS 15066. Proceedings of the 2017 3rd International Conference on Control, Automation and Robotics (ICCAR), Nagoya, Japan.","DOI":"10.1109\/ICCAR.2017.7942795"},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1880","DOI":"10.1109\/LRA.2018.2801477","article-title":"Safety map: A unified representation for biomechanics impact data and robot instantaneous dynamic properties","volume":"3","author":"Mansfeld","year":"2018","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Schlotzhauer, A., Kaiser, L., Wachter, J., Brandstotter, M., and Hofbaur, M. (2019, January 22\u201326). On the trustability of the safety measures of collaborative robots: 2D Collision-force-map of a sensitive manipulator for safe HRC. Proceedings of the 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), Vancouver, BC, Canada.","DOI":"10.1109\/COASE.2019.8842991"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"80873","DOI":"10.1109\/ACCESS.2021.3085109","article-title":"Analysis of Interlaboratory Safety Related Tests in Power and Force Limited Collaborative Robots","volume":"9","author":"Scibilia","year":"2021","journal-title":"IEEE Access"},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Schneider, C., Suchanek, T., Hutter-Mironovov\u00e1, M., Bdiwi, M., and Putz, M. (2022, January 8\u20139). Approximation Methods and Reference Values for Maximum Allowed Collaborative Operating Speeds in Quasi-Static and Transient Contact Cases. Proceedings of the Lecture Notes in Electrical Engineering; Springer Science and Business Media Deutschland GmbH, NCR New Delhi, India.","DOI":"10.1007\/978-3-031-26474-0_1"},{"key":"ref_113","unstructured":"Kirschner, R.J., Kurdas, A., Karacan, K., Junge, P., Birjandi, S.A.B., Mansfeld, N., Abdolshah, S., and Haddadin, S. (2012, January 7\u201312). Towards a Reference Framework for Tactile Robot Performance and Safety Benchmarking. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Vilamoura-Algarve, Portugal."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Ponikelsk\u00fd, J., Chalupa, M., \u010cernohl\u00e1vek, V., and \u0160t\u011brba, J. (2024). Force and Pressure Dependent Asymmetric Workspace Research of a Collaborative Robot and Human. Symmetry, 16.","DOI":"10.3390\/sym16010131"},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Hornung, L., S\u00f3ti, G., and Wurll, C. (2024). A Step Towards a Finite Element Model for an Impact Situation in Human-Robot Interaction. Lecture Notes in Networks and Systems, Springer Science and Business Media.","DOI":"10.1007\/978-3-031-44851-5_22"},{"key":"ref_116","unstructured":"Liu, Y., and Li, Z. (2024). Safety evaluation method of physical human-robot collaboration based on human upper limb model. Proceedings of the Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), SPIE."},{"key":"ref_117","doi-asserted-by":"crossref","unstructured":"He, C., Fan, L., Xiao, Y., Han, Z., Luo, Z., Ge, C., and Lv, M. (2024, January 20\u201322). Digital Twin based Test- and Verify Framework of Human-Robot Collaboration Solutions. Proceedings of the 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), Hong Kong, China.","DOI":"10.1109\/ARSO60199.2024.10557798"},{"key":"ref_118","doi-asserted-by":"crossref","unstructured":"Rathmair, M., Luckeneder, C., Haspl, T., Reiterer, B., Hoch, R., Hofbaur, M., and Kaindl, H. (2021, January 8\u201312). Formal verification of safety properties of collaborative robotic applications including variability. Proceedings of the 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, Vancouver, BC, Canada.","DOI":"10.1109\/RO-MAN50785.2021.9515404"},{"key":"ref_119","unstructured":"Sohail, S.O., Schneider, S., and Hochgeschwender, N. (September, January 28). Automated Testing of Standard Conformance for Robots. Proceedings of the IEEE International Conference on Automation Science and Engineering, Bari, Italy."},{"key":"ref_120","unstructured":"Huck, T.P., Ledermann, C., Klose, S., Dai, D.-I.H.F., Matthias, B., and Byner, C. (2022, January 20\u201321). Development of a Simulation-based Risk Assessment Tool for HRC Applications. Proceedings of the ISR Europe 2022; 54th International Symposium on Robotics, Munich, Germany."},{"key":"ref_121","first-page":"1","article-title":"Consistency Analysis and Suggestions of Collision Measurement in Human-Robot Collaboration Safety Evaluation","volume":"39","author":"Zhu","year":"2024","journal-title":"Int. J. Robot. Autom."},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Kirschner, R.J., Mansfeld, N., Abdolshah, S., and Haddadin, S. (2021, January 4\u20136). Experimental analysis of impact forces in constrained collisions according to ISO\/TS 15066. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419494"},{"key":"ref_123","unstructured":"Svarny, P., Rozlivek, J., Rustler, L., and Hoffmann, M. (June, January 30). 3D Collision-Force-Map for Safe Human-Robot Collaboration. Proceedings of the IEEE International Conference on Robotics and Automation, Xi\u2019an, China."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/s41315-023-00299-7","article-title":"Research on safety design and optimization of collaborative robots","volume":"7","author":"Hu","year":"2023","journal-title":"Int. J. Intell. Robot. Appl."},{"key":"ref_125","unstructured":"Shi, H., and Dagalakis, N.G. (2015, January 14\u201317). Biosimulant Artifact with Embedded Calcium Alginate Bead Sensor for Robot Impact Safety Testing. Proceedings of the ASPE 2015 Annual Meeting, Denver, CO, USA."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1108\/IR-06-2015-0125","article-title":"Human-robot collaboration dynamic impact testing and calibration instrument for disposable robot safety artifacts","volume":"43","author":"Dagalakis","year":"2016","journal-title":"Ind. Robot. Int. J. Robot. Res. Appl."},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Hirata, A., Shimaoka, Y., Okamoto, T., Watanabe, R., and Yamada, Y. (2021, January 4\u20136). Evaluation of biofidelity and a proposal for simplification of a human-inspired safety dummy. Proceedings of the ISR 2021 IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan.","DOI":"10.1109\/ISR50024.2021.9419573"},{"key":"ref_128","doi-asserted-by":"crossref","unstructured":"Iki, Y., Yamada, Y., Akiyama, Y., Okamoto, S., and Liu, J. (2020, January 25\u201329). Designing a dummy skin by evaluating contacts between a human hand and a robot end tip. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Las Vegas, NV, USA.","DOI":"10.1109\/IROS45743.2020.9340850"},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Li, F. (, January 8\u201311). Evaluation of a Finger Dummy with a Built-in Sensor System for Safety Assessment. Proceedings of the 2024 IEEE\/SICE International Symposium on System Integration, SII 2024, Ha Long, Vietnam.","DOI":"10.1109\/SII58957.2024.10417308"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"7782","DOI":"10.1109\/ACCESS.2023.3237763","article-title":"Development of Dummy Based on Impedance Properties of Human Soft Tissue Using a Nonlinear Viscoelastic Model","volume":"11","author":"Liu","year":"2023","journal-title":"IEEE Access"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"2783","DOI":"10.1007\/s00170-022-10369-y","article-title":"Compensation of electrical current drift in human\u2013robot collision","volume":"123","author":"Nguyen","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_132","doi-asserted-by":"crossref","unstructured":"Case, J.C., Rangarajan, N., Falco, J., and Kimble, K. (November, January 31). Towards the Development of Soft Force and Pressure Sensors for Robot Safety Applications. Proceedings of the 2021 IEEE Sensors, Virtual Conference, Sydney, Australia.","DOI":"10.1109\/SENSORS47087.2021.9639838"},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Zimmermann, J., Huelke, M., and Clermont, M. (2022). Experimental Comparison of Biofidel Measuring Devices Used for the Validation of Collaborative Robotics Applications. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph192013657"},{"key":"ref_134","doi-asserted-by":"crossref","unstructured":"Samarathunga, S.M.B.P.B., Valori, M., Faglia, R., Fassi, I., and Legnani, G. (2023). Considerations on the Dynamics of Biofidelic Sensors in the Assessment of Human\u2013Robot Impacts. Machines, 12.","DOI":"10.3390\/machines12010026"},{"key":"ref_135","unstructured":"(2025, February 05). DGUV-Information\u2013Collaborative Robot Systems Design of Systems with Power and Force Limiting Function. Available online: https:\/\/www.semanticscholar.org\/paper\/DGUV-Information-Collaborative-robot-systems-Design\/c42d49df71eb7c12e92ce6bbd44c7c19814369c9."},{"key":"ref_136","unstructured":"(2018). Technical Report\u2013Industrial Robots and Robot Systems\u2013Safety Requirements\u2013Testing Methods for Power & Force Limited Collaborative Applications (Standard No. RIA TR R15.806\u20132018)."},{"key":"ref_137","unstructured":"(2023). 2023-Robotics\u2014Collaborative Applications\u2014Test Methods for Measuring Forces and Pressures in Human-Robot Contacts (Standard No. ISO\/PAS 5672)."}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/14\/3\/27\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:44:16Z","timestamp":1760028256000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/14\/3\/27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,28]]},"references-count":137,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["robotics14030027"],"URL":"https:\/\/doi.org\/10.3390\/robotics14030027","relation":{},"ISSN":["2218-6581"],"issn-type":[{"value":"2218-6581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,28]]}}}