Multi-Objective GA for Path Planning of Robot Manipulators Based on Dual Quaternion

C. E. Cea-Montufar, E. A. Merchan-Cruz, J. Ramirez-Gordillo, E. Vergara-Hernandez, M. A. Cerro-Ramirez

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

Abstract

This paper presents a path planning strategy for robotic manipulators based on genetic algorithms and dual quaternions, designing a multi-objective function that allow trajectories be planned in an obstacle-free space and singularity-free kinematic restrictions for robotic manipulators as an optimization problem satisfying position and orientation conditions.

Original languageEnglish
Title of host publication2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538646250
DOIs
StatePublished - 23 Jan 2019
Event2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018 - Gudalajara, Mexico
Duration: 6 Nov 20189 Nov 2018

Publication series

Name2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018

Conference

Conference2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
Country/TerritoryMexico
CityGudalajara
Period6/11/189/11/18

Keywords

  • dual quaternion
  • multi-objective genetic algorithm
  • path planning
  • robot manipulator

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