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Coordinated Control for Graceful Motion of a Mobile Manipulator

  • Peking University

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

Abstract

The mobile manipulator holds potential for executing multi-scene operational tasks through the collaborative movement of both the mobile base and manipulator. However, the conventional sequential base-manipulator control method for mobile manipulator is restricted in speed and gracefulness by the need for the mobile base to stop moving before the manipulator starts moving. In contrast, humans effortlessly handle such tasks while walking or running, simultaneously managing secondary tasks such as avoiding obstacles, optimizing posture, and monitoring the environment. Regrettably, mobile manipulators lack this agile finesse displayed by humans. To address this shortfall, this paper introduces a coordinated motion planning method that considers the manipulator and mobile base as a whole structure based on the task-priority redundancy resolution and considers the optimal mobile base placement in navigation. The simulation results demonstrate that the suggested method significantly improves the speed, reliably, and task completion efficiency of the mobile manipulator.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
EditorsXuguang Lan, Xuesong Mei, Caigui Jiang, Fei Zhao, Zhiqiang Tian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages411-423
Number of pages13
ISBN (Print)9789819607822
DOIs
StatePublished - 2025
Event17th International Conference on Intelligent Robotics and Applications, ICIRA 2024 - Xi'an, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15208 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Country/TerritoryChina
CityXi'an
Period31/07/242/08/24

Keywords

  • Autonomous robots
  • Control strategies
  • Motion planning

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