Mobile manipulator path planning by a genetic algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

The paper addresses the path planning problem for a mobile manipulator system which is used to perform a sequence of tasks specified by locations and minimum oriented force capabilities. The problem is to find an optimal sequence of base positions and manipulator configurations for performing a sequence of tasks given a series of task specifications. The formulation of the problem is nonlinear. The feasible regions for the problem are nonconvex and unconnected. Genetic algorithms applied to such problems appear to be very promising while traditional optimization methods cause difficulties. Computer simulations are carried out on a three-degrees-of-freedom manipulator mounted on a two-degrees-of-freedom mobile base to search for the near optimal path planning solution for performing the sequence of tasks.

Original languageEnglish (US)
Title of host publicationIROS 1992 - Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems
Subtitle of host publicationSensor-Based Robotics and Opportunties for its Industrial Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages681-688
Number of pages8
ISBN (Electronic)0780307372
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992 - Raleigh, United States
Duration: Jul 7 1992Jul 10 1992

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume1
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992
CountryUnited States
CityRaleigh
Period7/7/927/10/92

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Mobile manipulator path planning by a genetic algorithm'. Together they form a unique fingerprint.

Cite this