Safety Assessment Review of a Dressing Assistance Robot

Author:

Delgado Bellamy Daniel,Chance Gregory,Caleb-Solly Praminda,Dogramadzi Sanja

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.

Funder

UK Research and Innovation

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference53 articles.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Enhancing reliability analysis of AI systems using STPA: a case study on the DroneResponse UAV system;International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023);2023-12-07

3. Physically Assistive Robots: A Systematic Review of Mobile and Manipulator Robots That Physically Assist People with Disabilities;Annual Review of Control, Robotics, and Autonomous Systems;2023-11-21

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5. An intelligent socially assistive robot-wearable sensors system for personalized user dressing assistance;Advanced Robotics;2023-08-02

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