Skip to main navigation Skip to search Skip to main content

Inverse Kinematics and Probabilistic Constrained Motion Planning for Modular Redundant Manipulators

  • Renzheng Zhang
  • , Guodong Chen
  • , Zheng Wang
  • , Zhenhua Wang
  • , Lining Sun
  • Soochow University

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

Abstract

This paper designs a modular redundant manipulator to solve the safety problem in complex working environment, and the research on the obstacle avoidance motion planning method of the manipulator is carried out. In order to prove the rationality of the design of the manipulator and simplify the development of the controller, we first analyze the forward and inverse kinematics of the manipulator, determine its D-H parameters, and solve the inverse kinematics of the manipulator using the IKFast algorithm based on the analytical solution. Then we propose a manipulator motion planning method based on probability-constrained GB-RRT∗(Goal-Bias RRT∗). Finally, the inverse kinematics algorithm and improved motion planning algorithm of the manipulator are simulated in ROS.

Original languageEnglish
Title of host publicationProceedings of the 2020 4th International Conference on Innovation in Artificial Intelligence, ICIAI 2020
PublisherAssociation for Computing Machinery
Pages211-215
Number of pages5
ISBN (Electronic)9781450376587
DOIs
StatePublished - 8 May 2020
Externally publishedYes
Event4th International Conference on Innovation in Artificial Intelligence, ICIAI 2020 - Xiamen, China
Duration: 8 May 202011 May 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Innovation in Artificial Intelligence, ICIAI 2020
Country/TerritoryChina
CityXiamen
Period8/05/2011/05/20

Keywords

  • Gb-RRT
  • ROS
  • inverse kinematics
  • motion planning
  • redundant manipulator

Fingerprint

Dive into the research topics of 'Inverse Kinematics and Probabilistic Constrained Motion Planning for Modular Redundant Manipulators'. Together they form a unique fingerprint.

Cite this