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Human-Machine Collaborative Teleoperation Controller for Autonomous Vehicles Based on Fusion Weight Function

  • Zhen Ye
  • , Yanpeng Liu
  • , Hui Xi
  • , Peng Yang
  • , Zhipeng Cui
  • , Weihua Li*
  • *Corresponding author for this work
  • Tongji University
  • Automotive Engineering College
  • Hubei Three Gorges Polytechnic
  • China Construction Third Engineering Bureau Co. Ltd

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Teleoperation robotics and autonomous vehicle control technologies have experienced rapid development in response to the growing demand. To address issues such as significant communication delays in teleoperation control and low stability in autonomous control technologies, this paper proposes a human-machine collaborative teleoperation control method for autonomous vehicles based on a fusion weight function. The method integrates two control modes: bilateral teleoperation and intelligent planning decision-based autonomous control. It achieves a smooth transitional switch through position-velocity mapping within the fusion structure, enabling the remote-controlled vehicle to accurately track and execute control tasks. Furthermore, the required control conditions for the fusion weight function are analyzed, and the stability of the local autonomous teleoperation system is thoroughly examined and designed.

Original languageEnglish
Title of host publicationProceedings of the 44th Chinese Control Conference, CCC 2025
EditorsJian Sun, Hongpeng Yin
PublisherIEEE Computer Society
Pages5044-5051
Number of pages8
ISBN (Electronic)9789887581611
DOIs
StatePublished - 2025
Externally publishedYes
Event44th Chinese Control Conference, CCC 2025 - Chongqing, China
Duration: 28 Jul 202530 Jul 2025

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference44th Chinese Control Conference, CCC 2025
Country/TerritoryChina
CityChongqing
Period28/07/2530/07/25

Keywords

  • Autonomous Control
  • Human-Machine Collaboration
  • Non-holonomic Constraints
  • Teleoperation

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