Intention based Control for Physical Human-robot Interaction

被引:0
|
作者
Lyu, Shangke [1 ]
Cheah, Chien Chern [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
VARIABLE STIFFNESS ACTUATOR; ADAPTIVE-CONTROL; SAFE; DESIGN;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Physical human-robot interaction allows human and robots to perform collaborative tasks based on the strengths of both human and robots. During interaction, robots are required to react and adapt to human's intentions so that human can take control to guide robots when necessary. In this paper, we propose a control method which can operate in either robot control mode or human control mode according to human's intentions. Two types of human control modes are considered including shared control mode where human and robots share the active role to perform a task and full control mode where human take full control to complete a task. The stability of the human-robot interaction control system with physical contact is shown by using Lyapunov-like analysis. Experimental results are presented to illustrate the performance of the proposed control system.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [41] Impedance learning control for physical human-robot cooperative interaction
    Brahmi, Brahim
    El Bojairami, Ibrahim
    Laraki, Mohamed-Hamza
    El-Bayeh, Claude Ziad
    Saad, Maarouf
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 190 : 1224 - 1242
  • [42] Computational modeling of human-robot interaction based on active intention estimation
    Omori, Takashi
    Yokoyama, Ayami
    Okada, Hiroyuki
    Ishikawa, Satoru
    Nagata, Yugo
    [J]. NEURAL INFORMATION PROCESSING, PART II, 2008, 4985 : 185 - +
  • [43] A Dynamic Behavior Control Framework for Physical Human-Robot Interaction
    Xing Liu
    Shuzhi Sam Ge
    Fei Zhao
    Xuesong Mei
    [J]. Journal of Intelligent & Robotic Systems, 2021, 101
  • [44] Natural Grasp Intention Recognition Based on Gaze in Human-Robot Interaction
    Yang, Bo
    Huang, Jian
    Chen, Xinxing
    Li, Xiaolong
    Hasegawa, Yasuhisa
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 27 (04) : 2059 - 2070
  • [45] Physical Human-Robot Interaction of a Robo is Exoskeleton By Admittance Control
    Li, Zhijun
    Huang, Bo
    Ye, Zhifeng
    Deng, Mingdi
    Yang, Chenguang
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (12) : 9614 - 9624
  • [46] Assimilation Control of a Robotic Exoskeleton for Physical Human-Robot Interaction
    Li, Guoxin
    Li, Zhijun
    Kan, Zhen
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02): : 2977 - 2984
  • [47] An atlas of physical human-robot interaction
    De Santis, Agostino
    Siciliano, Bruno
    De Luca, Alessandro
    Bicchi, Antonio
    [J]. MECHANISM AND MACHINE THEORY, 2008, 43 (03) : 253 - 270
  • [48] Intuitive Physical Human-Robot Interaction
    Badeau, Nicolas
    Gosselin, Clement
    Foucault, Simon
    Laliberte, Thierry
    Abdallah, Muhammad E.
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2018, 25 (02) : 28 - 38
  • [49] Physical and Social Human-robot Interaction
    Metta, Giorgio
    [J]. UMAP'20: PROCEEDINGS OF THE 28TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2020, : 3 - 3
  • [50] Human-Robot Interaction-Based Intention Sharing of Assistant Robot for Elderly People
    Yang, Jeong-Yean
    Kwon, Oh-Hun
    Lim, Chan-Soon
    Kwon, Dong-Soo
    [J]. INTELLIGENT AUTONOMOUS SYSTEMS 12 , VOL 2, 2013, 194 : 283 - +