Safety in Wearable Robotic Exoskeletons: Design, Control, and Testing Guidelines

被引:1
|
作者
Nasr, Ali [1 ]
Inkol, Keaton [1 ]
McPhee, John [1 ]
机构
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源
JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME | 2025年 / 17卷 / 05期
基金
加拿大自然科学与工程研究理事会;
关键词
exoskeletons; wearable robotics; safety assurance; reliability; trustworthy; SELF-ALIGNING MECHANISM; COMFORT; BALANCE;
D O I
10.1115/1.4066900
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Exoskeletons, wearable robotic devices designed to enhance human strength and endurance, find applications in various fields such as healthcare and industry; however, stringent safety measures should be adopted in such settings. This paper presents a comprehensive exploration of challenges associated with exoskeleton technology, ranging from mechanical issues to regulatory and ethical considerations. The enumerated challenges include joint hyper-extension or flexion, rapid or sudden motion, misalignment, fit, and comfort issues, mechanical failure, weight and mobility limitations, environmental challenges, power supply issues, high energy consumption and regeneration, fall risk or stability concerns, sensor failures, control algorithm malfunctions, machine-learning model challenges, communication disconnection, actuator malfunctions, unexpected human-robot interactions, and regulatory and ethical considerations. The paper outlines possible risks and suggests practical solutions based on design, control, and testing methods for each challenge. The objective is to offer a guideline for developers and users, emphasizing safety, reliability, and optimal performance in the ever-evolving landscape of exoskeleton technology. The guideline covers preoperation checks, user training, emergency response, real-time monitoring, and user interaction to ensure responsible innovation and user-centricity in exoskeleton development and deployment.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Neural Network Velocity Field Control of Robotic Exoskeletons with Bounded Input
    Asl, Hamed Jabbari
    Narikiyo, Tatsuo
    Kawanishi, Michihiro
    2017 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2017, : 1363 - 1368
  • [42] Application of human-centered design principles to wearable exoskeletons: a systematic review
    Assare-Mokwah, Emmanuel
    Arunkumar, S.
    DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY, 2024,
  • [43] Forestry professionals' perspectives on exoskeletons (wearable assistive technology) to improve worker safety and health
    Kim, Jeong Ho
    Chung, Woodam
    INTERNATIONAL JOURNAL OF FOREST ENGINEERING, 2024, 35 (01) : 110 - 119
  • [44] Prescribed Performance Velocity Field Control of Robotic Exoskeletons with Neural Network
    Asl, Hamed Jabbari
    Narikiyo, Tatsuo
    Kawanishi, Michihiro
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 2704 - 2709
  • [45] Human-Robot Coordination Control of Robotic Exoskeletons by Skill Transfers
    Li, Zhijun
    Kang, Yu
    Xiao, Zhiye
    Song, Weiguo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (06) : 5171 - 5181
  • [46] Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review
    Kian, Azadeh
    Widanapathirana, Giwantha
    Joseph, Anna M.
    Lai, Daniel T. H.
    Begg, Rezaul
    SENSORS, 2022, 22 (06)
  • [47] Adaptive neural network-based saturated control of robotic exoskeletons
    Hamed Jabbari Asl
    Tatsuo Narikiyo
    Michihiro Kawanishi
    Nonlinear Dynamics, 2018, 94 : 123 - 139
  • [48] Design, modeling and testing of a compact variable stiffness mechanism for exoskeletons
    Li, Zhongyi
    Bai, Shaoping
    Madsen, Ole
    Chen, Weihai
    Zhang, Jianbin
    MECHANISM AND MACHINE THEORY, 2020, 151
  • [49] Model Predictive Control-based Gait Pattern Generation for Wearable Exoskeletons
    Wang, Letian
    van Asseldonk, Edwin H. F.
    van der Kooij, Herman
    2011 IEEE INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2011,
  • [50] Guidelines for the design of robotic gripping systems
    Causey, G
    ASSEMBLY AUTOMATION, 2003, 23 (01) : 18 - 28