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author:

Peng, J. (Peng, J..) [1] | Liao, Z. (Liao, Z..) [2] | Yao, H. (Yao, H..) [3] | Wan, Z. (Wan, Z..) [4] | Zhu, L. (Zhu, L..) [5] | Dai, H. (Dai, H..) [6]

Indexed by:

Scopus PKU CSCD

Abstract:

Human-robot coexisting is an essential feature of the next generation mobile robot. A compliant robot control strategy based on the extended social-force model for human-following and obstacle avoidance in coexisting-cooperative-cognitive environment is presented. The human-following controller based on impedance control can simultaneously adjust human-robot interaction force and position deviation to carry out the compliant human-following of mobile robots. Considering human-robot-obstacle interactions, based on the extended social-force model and proxemics, a control strategy for human-friendly compliant human-following and obstacle avoidance is designed to solve the obstacle avoidance problem of robot and ensure the human comfort and improving the social acceptance of robot simultaneously. Simulation results show that the proposed control strategy can realize human-friendly compliant human-following and obstacle avoidance. © 2023 Acta Simulata Systematica Sinica. All rights reserved.

Keyword:

coexisting-cooperative-cognitive compliant control extended social-force model human-following robots impedance control obstacle avoidance proxemics

Community:

  • [ 1 ] [Peng J.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 2 ] [Peng J.]University of Chinese Academy of Sciences, Beijing, 100049, China
  • [ 3 ] [Liao Z.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 4 ] [Liao Z.]Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 5 ] [Yao H.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 6 ] [Yao H.]University of Chinese Academy of Sciences, Beijing, 100049, China
  • [ 7 ] [Wan Z.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 8 ] [Wan Z.]School of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China
  • [ 9 ] [Zhu L.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 10 ] [Dai H.]Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, 350002, China
  • [ 11 ] [Dai H.]University of Chinese Academy of Sciences, Beijing, 100049, China

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Source :

Journal of System Simulation

ISSN: 1004-731X

CN: 11-3092/V

Year: 2023

Issue: 8

Volume: 35

Page: 1776-1787

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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