Model-driven Risk Analysis for the Design of Safe Collaborative Robotic Applications

In human-robot collaboration (HRC), humans and robots share the same workspace while executing hybrid tasks. Their close proximity imposes higher possibility of contacts that could potentially be dangerous. Hence, physical safety and risk analysis become of utmost importance during system design.In...

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Veröffentlicht in:2020 IEEE International Conference on Human-Machine Systems (ICHMS) S. 1 - 6
Hauptverfasser: Askarpour, Mehrnoosh, Lestingi, Livia, Buran, Federico, Rossi, Matteo, Vicentini, Federico
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.09.2020
Schlagworte:
Collaboration
Hazards
Human Robot collaboration
Physical Safety
Risk analysis
Risk Assessment
Risk Reduction measure
Robots
Unified modeling language
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Zusammenfassung:In human-robot collaboration (HRC), humans and robots share the same workspace while executing hybrid tasks. Their close proximity imposes higher possibility of contacts that could potentially be dangerous. Hence, physical safety and risk analysis become of utmost importance during system design.In this paper, we propose a tool-supported interactive technique that facilitates the design of safe HRC systems for designers by performing iterative risk analysis and suggesting risk reduction measures (RRMs) to mitigate unsafe physical contacts.
DOI:10.1109/ICHMS49158.2020.9209450