Abstract
There is still limited support for performing human-robot collaboration (HRC) risk assessments, so users must rely on their expertise and experience. Therefore, risk assessment is challenging for inexperienced users without this knowledge. In this paper, we present a study that identifies evaluation criteria for risk assessment software based on expert opinions and evaluate the software solution against the criteria. In addition, the software solution is evaluated for its applicability to HRC applications. The results show that the available software solutions takes different approaches and only partially meets the experts’ requirements. The specifics of HRC applications are only rudimentary addressed by the software solutions, but can be mapped with the available functions and the necessary knowledge.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
References
Huck, T.P., Münch, N., Hornung, L., Ledermann, C., Wurll, C.: Risk assessment tools for industrial human-robot collaboration: novel approaches and practical needs. Saf. Sci. 141, 105288 (2021)
Saenz, J., Elkmann, N., Gibaru, O., Neto, P.: Survey of methods for design of collaborative robotics applications - why safety is a barrier to more widespread robotics uptake. In: Proceedings of the 2018 4th International Conference on Mechatronics and Robotics Engineering, pp. 95–101 (2018)
Hornung, L.: Ergebnisse der Umfrage Mensch-Roboter-Kollaboration (2021). https://doi.org/10.13140/RG.2.2.29402.26560
Valori, M., et al.: Validating safety in human-robot collaboration: standards and new perspectives. Robotics 10, 65 (2021)
European Union: Directive 2006/42/EC of the European Parliament and of the Council of 17 May 2006 on machinery, and amending Directive 95/16/EC (recast). Off. J. Eur. Union (2006)
ISO: ISO 10218-2:2011: Robots and Robotic Devices - Safety Requirements for Industrial Robots - Part 2: Robot Systems and Integration. pub-ISO (2011)
Hornung, L.: Ergebnisse der Umfrage Risikobeurteilung für Mensch-Roboter-Kollaboration (HRC) (2021). https://doi.org/10.13140/RG.2.2.27292.00644
TÜV SÜD: MASCHINENRICHTLINIE 2006/42/EG. https://www.tuvsud.com/de-de/indust-re/maschinensicherheit-info/maschinenrichtlinie. Accessed 11.02.2022
ISO: ISO 12100:2011: Safety of Machinery - General Principles for Design - Risk Assessment and Risk Reduction (2011)
European Commission: Commission communication in the framework of the implementation of the Directive 2006/42/EC of the European Parliament and of the Council on machinery, and amending Directive 95/16/EC. Off. J. Eur. Union (2018)
Guiochet, J.: Hazard analysis of human-robot interactions with HAZOP-UML. Saf. Sci. 86, 225–237 (2016)
Adriaensen, A., Pintelon, L., Costantino, F., Di Gravio, G., Patriarca, R.: An STPA safety analysis case study of a collaborative robot application. IFAC-PapersOnLine 54, 534–539 (2021)
Zhou, J., Hänninen, K., Lundqvist, K., Provenzano, L.: An ontological approach to hazard identification for safety-critical systems. In: 2017 Second International Conference on Reliability Systems Engineering (ICRSE), pp. 1–7 (2017)
Askarpour, M., Mandrioli, D., Rossi, D., Vicentini, F.: SAFER-HRC: Safety Analysis through Formal vERification in Human-Robot Collaboration. In: International Conference on Computer Safety, Reliability, and Security (2016)
Vicentini, F., Askarpour, M., Rossi, M., Mandrioli, D.: Safety assessment of collaborative robotics through automated formal verification. IEEE Trans. Robot. 36, 42–61 (2019)
Awad, R., Fechter, M., van Heerden, J.: Integrated risk assessment and safety consideration during design of HRC workplaces. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–10 (2017)
Marvel, J.A., Falco, J., Marstio, I.: Characterizing task-based human-robot collaboration safety in manufacturing. IEEE Trans. Syst. Man Cybern. Syst. 45, 260–275 (2014)
Ganglbauer, M., Ikeda, M., Plasch, M., Pichler, A.: Human in the loop online estimation of robotic speed limits for safe human robot collaboration. In: 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021), vol. 51, pp. 88–94 (2020)
Chitturi, N., Ganglbauer, M., Plasch, M., Kulha, P., Pichler, A.: HolisafeHRC: Holistic Safety Concepts in Human-Robot Collaboration (2019)
Huck, T.P., Ledermann, C., Kröger, T.: Simulation-based testing for early safety-validation of robot systems. In: 2020 IEEE Symposium on Product Compliance Engineering-(SPCE Portland), pp. 1–6 (2020)
Huck, T.P., Ledermann, C., Kröger, T.: Virtual adversarial humans finding hazards in robot workplaces. In: 2021 IEEE International Conference on Robotics and Automation (ICRA) (2021)
Poot, L., Johansen, K., Gopinath, V.: Supporting risk assessment of human-robot collaborative production layouts: a proposed design automation framework. Procedia Manuf. 25, 543–548 (2018)
Fraunhofer Institute for Factory Operation and Automation IFF: COVR - being safe around collaborative and versatile robots in shared spaces (2021)
Mayring, P.: Qualitative Inhaltsanalyse - Grundlagen und Techniken, p. 152. Julius Beltz, 12, überarb. Aufl. (2015)
Tausendpfund, M.: Quantitative Methoden in der Politikwissenschaft - Eine Einführung, vol. 1, p. 356. Springer VS, Wiesbaden (2018)
Jacob, R., Heinz, A., Décieux, J.P.: Umfrage: Einführung in die Methoden der Umfrageforschung, p. 295. Oldenbourg Wissenschaftsverlag (2013)
Porst, R.: Praxis der Umfrageforschung, vol. 2, p. 211. VS Verlag für Sozialwissenschaften, Wiesbaden (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Hornung, L., Wurll, C., Hein, B. (2023). Evaluation of Software Solutions for Risk Assessment Focusing on Human-Robot Collaboration. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-031-22216-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-22216-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-22215-3
Online ISBN: 978-3-031-22216-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)