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Random force based algorithm for local minima escape of potential field method

  • Stony Brook University

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

30 Scopus citations

Abstract

We address a new inherent limitation of potential field methods, which is symmetrically aligned robot-obstacle-goal (SAROG). The SAROG involves one critical risk of local minima trap. For dealing with the problem, we investigate the way how the local minima trap is recognized, and present our random force algorithm. The force algorithm has two categories of random unit total force (RUTF) and random unit total force with repulsion removal (RUTF-RR) which are selected based on the conditions of a robot, an obstacle and a goal.

Original languageEnglish
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Pages827-832
Number of pages6
DOIs
StatePublished - 2010
Event11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore
Duration: Dec 7 2010Dec 10 2010

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Conference

Conference11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Country/TerritorySingapore
CitySingapore
Period12/7/1012/10/10

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