Calculating the Supplied Energy for Physical Human-Robot Interaction

被引:3
|
作者
Liu, Jian [1 ]
Yamada, Yoji [1 ]
Akiyama, Yasuhiro [1 ]
机构
[1] Nagoya Univ, Fac Dept Mech Syst Engn, Nagoya, Aichi 4648603, Japan
关键词
physical Human-Robot Interaction; supplied energy; calculation method; collision mode; viscoelasticity; human soft tissue; INJURY;
D O I
10.1109/ISR50024.2021.9419517
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the safety of robotics is highly demanded, injury criteria are widely investigated and employed in control strategies because of their guiding roles, in which the energy (density) tolerances are of priority owing to unification of other physical variables for injury criteria. However, the calculation method for the supplied energy of the physical Human-Robot Interaction (pHRI) is not addressed by considering the viscoelasticity of the human soft tissue. This paper presents four collision modes for classifying the pHRI and proposes a generic method for calculating the supplied energy of each collision mode. Consequently, specific calculation instances are given by treating the human soft tissue as a three-element Maxwell model with maximum/allowable compressive displacement. The feasibility and precision of the proposed calculation method are verified by comparing the computational and simulation results. This calculation method is intended to provide a way of directly determining or indirectly converting the allowable velocity or mass of an approaching robot.
引用
收藏
页码:157 / 160
页数:4
相关论文
共 50 条
  • [21] Research and development statue of physical human-robot interaction
    Xiong, G.-L. (xgl.lijing@yahoo.com.cn), 1600, Chinese Academy of Sciences (21):
  • [22] Physical human-robot interaction: Dependability, safety, and performance
    Bicchi, Antonio
    Bavaro, Michele
    Boccadamo, Gianluca
    De Carli, Davide
    Filippini, Roberto
    Grioli, Giorgio
    Piccigallo, Marco
    Rosi, Alessandro
    Schiavi, Riccardo
    Sen, Sournen
    Tonletti, Giovanni
    AMC '08: 10TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL, VOLS 1 AND 2, PROCEEDINGS, 2008, : 9 - 14
  • [23] Physical Human-Robot Interaction Mutual Learning and Adaptation
    Ikemoto, Shuhei
    Ben Amor, Heni
    Minato, Takashi
    Jung, Bernhard
    Ishiguro, Hiroshi
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2012, 19 (04) : 24 - 35
  • [24] Tactile Sensing for Safe Physical Human-Robot Interaction
    Elkmann, Norbert
    Fritzsche, Markus
    Schulenburg, Erik
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER-HUMAN INTERACTIONS (ACHI 2011), 2011, : 212 - 217
  • [25] Intention based Control for Physical Human-robot Interaction
    Lyu, Shangke
    Cheah, Chien Chern
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2018, : 1 - 6
  • [26] Charting User Experience in Physical Human-Robot Interaction
    Seifi, Hasti
    Bhatia, Arpit
    Hornbaek, Kasper
    ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION, 2024, 13 (02) : 1 - 29
  • [27] Special Issue on Autonomous Physical Human-Robot Interaction
    Haddadin, Sami
    Giordano, Paolo Robuffo
    Peer, Angelika
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2012, 31 (13): : 1529 - 1530
  • [28] Autonomy in Physical Human-Robot Interaction: A Brief Survey
    Selvaggio, Mario
    Cognetti, Marco
    Nikolaidis, Stefanos
    Ivaldi, Serena
    Siciliano, Bruno
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (04) : 7989 - 7996
  • [29] Quantitative safety guarantees for physical human-robot interaction
    Heinzmann, J
    Zelinsky, A
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2003, 22 (7-8): : 479 - 504
  • [30] Trajectory Deformations From Physical Human-Robot Interaction
    Losey, Dylan P.
    O'Malley, Marcia K.
    IEEE TRANSACTIONS ON ROBOTICS, 2018, 34 (01) : 126 - 138