An IK Heuristic Method for WheelTracked Humanoid Robots with Omnidirectional Mobile Base

Chuan Yu, Qinhu Chen, Zeming Fan, Meilin Kang, Yixin Wang, Yanqiang Wang, Xiaojun Yu

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

Abstract

Due to the high redundancy of robots, it is complex and challenging to solve the inverse kinematics. This paper presents a heuristic algorithm for inverse kinematics of wheel-tracked humanoid robots with an omnidirectional moving base in 3D. This new method changes the pedestal pose, including improved obstacle avoidance strategy. The presented method is illustrated by simulation considering LABOR, whose waist is regarded as an omnidirectional mobile base. The results of the simulation proved that it has the advantages of simpler implementation, faster convergence, and lower computational cost than the Jacobian matrix transformation method, reducing the number of iterations by about 92%. At the same time, it increases manipulability and allows real-time application.

Original languageEnglish
Title of host publicationMoving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014
EditorsQiang Zhang
PublisherIOS Press BV
Pages313-319
Number of pages7
ISBN (Electronic)9781643685144
DOIs
StatePublished - 30 Apr 2024
Event2nd International Conference on Intelligent Equipment and Special Robots, ICIESR 2023 - Qingdao, China
Duration: 20 Oct 202322 Oct 2023

Publication series

NameAdvances in Transdisciplinary Engineering
Volume53
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference2nd International Conference on Intelligent Equipment and Special Robots, ICIESR 2023
Country/TerritoryChina
CityQingdao
Period20/10/2322/10/23

Keywords

  • Heuristic Algorithm
  • Inverse Kinematics
  • Omnidirectional Moving Base

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