Safety Assessment Review of a Dressing Assistance Robot

Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of these methods to provide comprehensive coverage o...

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Published in:Frontiers in robotics and AI Vol. 8; p. 667316
Main Authors: Delgado Bellamy, Daniel, Chance, Gregory, Caleb-Solly, Praminda, Dogramadzi, Sanja
Format: Journal Article
Language:English
Published: Frontiers Media S.A 14-06-2021
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Abstract Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of these methods to provide comprehensive coverage of safety issues from interdisciplinary perspectives in a timely and cost-effective manner. Physically assistive tasks in which a range of dynamic contexts require continuous human–robot physical interaction such as e.g., robot-assisted dressing or sit-to-stand pose a new paradigm for safe design and safety analysis methodology. For these types of tasks, considerations have to be made for a range of dynamic contexts where the robot-assistance requires close and continuous physical contact with users. Current regulations mainly cover industrial collaborative robotics regarding physical human–robot interaction (pHRI) but largely neglects direct and continuous physical human contact. In this paper, we explore limitations of commonly used safety analysis techniques when applied to robot-assisted dressing scenarios. We provide a detailed analysis of the system requirements from the user perspective and consider user-bounded hazards that can compromise safety of this complex pHRI.
AbstractList Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of these methods to provide comprehensive coverage of safety issues from interdisciplinary perspectives in a timely and cost-effective manner. Physically assistive tasks in which a range of dynamic contexts require continuous human–robot physical interaction such as e.g., robot-assisted dressing or sit-to-stand pose a new paradigm for safe design and safety analysis methodology. For these types of tasks, considerations have to be made for a range of dynamic contexts where the robot-assistance requires close and continuous physical contact with users. Current regulations mainly cover industrial collaborative robotics regarding physical human–robot interaction (pHRI) but largely neglects direct and continuous physical human contact. In this paper, we explore limitations of commonly used safety analysis techniques when applied to robot-assisted dressing scenarios. We provide a detailed analysis of the system requirements from the user perspective and consider user-bounded hazards that can compromise safety of this complex pHRI.
Author Dogramadzi, Sanja
Caleb-Solly, Praminda
Delgado Bellamy, Daniel
Chance, Gregory
AuthorAffiliation University of the West of England, Bristol , United Kingdom
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Copyright Copyright © 2021 Delgado Bellamy, Chance, Caleb-Solly and Dogramadzi. 2021 Delgado Bellamy, Chance, Caleb-Solly and Dogramadzi
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Edited by: Noman Naseer, Air University, Pakistan
Ying Feng, South China University of Technology, China
Reviewed by: Paolo Fiorini, University of Verona, Italy
This article was submitted to Biomedical Robotics, a section of the journal Frontiers in Robotics and AI
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Snippet Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and...
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StartPage 667316
SubjectTerms assistive robotics
collision avoidance
pHRI
Robotics and AI
SHARD
system-theoretic process analysis
unified modeling language
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Title Safety Assessment Review of a Dressing Assistance Robot
URI https://search.proquest.com/docview/2547545689
https://pubmed.ncbi.nlm.nih.gov/PMC8236579
https://doaj.org/article/161ae59de4044f559a343c58efb1c58b
Volume 8
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