An Improved Snake Optimization Algorithm and Its Application in Manipulator Trajectory Planning

Wei Li*, Jiangbo Zhao, Junzhen Wang

*Corresponding author for this work

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

Abstract

Manipulator is a kind of widely used mechanical equipment, which has important applications in industry, agriculture, medical and other fields. Manipulator trajectory planning has always been a hot topic in manipulator research. In this paper, an improved snake optimization algorithm is proposed for robot manipulator trajectory planning in complex scenes. Firstly, the mathematical model of trajectory planning problem is constructed and a new cost function with constraint penalty term is proposed. Secondly, the updating mechanism of SO algorithm is improved and a new chaotic local search method is proposed to enhance the search ability and convergence speed of the algorithm. Finally, simulation experiments are carried out in multiple complex environments and compared with traditional algorithms. Experimental results show that ISO algorithm has better performance and stability in trajectory planning.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4306-4313
Number of pages8
ISBN (Electronic)9798350334722
DOIs
Publication statusPublished - 2023
Event35th Chinese Control and Decision Conference, CCDC 2023 - Yichang, China
Duration: 20 May 202322 May 2023

Publication series

NameProceedings of the 35th Chinese Control and Decision Conference, CCDC 2023

Conference

Conference35th Chinese Control and Decision Conference, CCDC 2023
Country/TerritoryChina
CityYichang
Period20/05/2322/05/23

Keywords

  • obstacle avoidance
  • optimization algorithm
  • robot manipulator
  • snake optimization
  • trajectory planning

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