Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis

被引:7
|
作者
Zimmermann, Yves [1 ,2 ]
Song, Jaeyong [1 ]
Deguelle, Cedric [1 ]
Laderach, Julia [1 ]
Zhou, Lingfei [1 ]
Hutter, Marco [2 ]
Riener, Robert [1 ,3 ]
Wolf, Peter [1 ]
机构
[1] Swiss Fed Inst Technol, Sensory Motor Syst Lab, CH-8092 Zurich, Switzerland
[2] Swiss Fed Inst Technol, Robot Syst Lab, Zurich, Switzerland
[3] Balgrist Univ Hosp, Spinal Cord Injury Ctr, CH-8008 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Human-robot interaction; rehabilitation engineering; rehabilitation robotics; UPPER-LIMB; CHRONIC STROKE; REHABILITATION; ARM; HUMERUS;
D O I
10.1109/TRO.2023.3268587
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Exoskeleton robots found application in neurorehabilitation, telemanipulation, and power augmentation. The human-robot attachment system of an exoskeleton should transmit all the interaction forces while keeping the anatomical and robotic joint axes aligned. Existing attachment concepts were bounding the performance of modern exoskeletons due to insufficient stiffness for high-performance force control, time-consuming adaption processes, and/or bulkiness. Therefore, we developed an augmented attachment system for a recent fully actuated nine-degree-of-freedom upper limb exoskeleton. The proposed system was compared to a conventional solution in a case study with four participants. The proposed attachment system lowered the relative motion between the human and the robot under static loads for all defined landmarks by 45% on average. The occurrence of undesired contacts in the trials was mitigated by 74%, thus improving conditions for closed-loop force control. Furthermore, the proposed system adapted better to the user's anatomy facilitating more accurate alignment and less obstruction. On average, self-attachment took 43(8.3) to don(doff). Thereby, the alignment of anatomic landmarks had typically less than 15 mm offset to a thorough expert alignment, making self-attachment eligible. The augmented attachment system and the insights gained by the case study are expected to enable improvement of the physical human-robot interaction of exoskeletons.
引用
收藏
页码:3087 / 3105
页数:19
相关论文
共 50 条
  • [1] Design and Human-Robot Coupling Performance Analysis of Flexible Ankle Rehabilitation Robot
    Zeng, Daxing
    Liu, Ya
    Qu, Chongrui
    Cong, Jianhua
    Hou, Yulei
    Lu, Wenjuan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (01) : 579 - 586
  • [2] Industrial exoskeletons for secure human-robot interaction: a review
    Cheng, Dinghao
    Hu, Bingtao
    Feng, Yixiong
    Song, Xiuju
    Zhang, Zhifeng
    Song, Junjie
    Wang, Fei
    Tan, Jianrong
    INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2024, 8 (04) : 914 - 941
  • [3] Instrumenting Complex Exoskeletons for Improved Human-Robot Interaction
    Grosu, Victor
    Guerrero, Carlos Rodriguez
    Brackx, Branko
    Grosu, Svetlana
    Vanderborght, Bram
    Lefeber, Dirk
    IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2015, 18 (05) : 5 - 10
  • [4] Performance analysis of a human-robot collaborative target recognition system
    Oren, Y.
    Bechar, A.
    Edan, Y.
    ROBOTICA, 2012, 30 : 813 - 826
  • [5] An Attachment Framework for Human-Robot Interaction
    Rabb, Nicholas
    Law, Theresa
    Chita-Tegmark, Meia
    Scheutz, Matthias
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2022, 14 (02) : 539 - 559
  • [6] An Attachment Framework for Human-Robot Interaction
    Nicholas Rabb
    Theresa Law
    Meia Chita-Tegmark
    Matthias Scheutz
    International Journal of Social Robotics, 2022, 14 : 539 - 559
  • [7] 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
  • [8] Optimal design of active-passive shoulder exoskeletons: a computational modeling of human-robot interaction
    Ali Nasr
    Sydney Bell
    John McPhee
    Multibody System Dynamics, 2023, 57 : 73 - 106
  • [9] Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons
    He, Binghan
    Huang, Huang
    Thomas, Gray C.
    Sentis, Luis
    2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 6748 - 6755
  • [10] Optimal design of active-passive shoulder exoskeletons: a computational modeling of human-robot interaction
    Nasr, Ali
    Bell, Sydney
    McPhee, John
    MULTIBODY SYSTEM DYNAMICS, 2023, 57 (01) : 73 - 106