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New potential functions with random force algorithms using potential field method

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Autonomous mobile robot path planning is a common topic for robotics and computational geometry. Many important results have been found, but a lot of issues are still veiled. This paper first describes new problem of symmetrically aligned robot-obstacle-goal (SAROG) when using potential field methods for mobile robot path planning. In addition, we consider constant robot speed for practical use. The SAROG and the constant speed involve two potential risks: robot-obstacle collision and local minima trap. For dealing with the two potential risks, we analyze the conditions of the collision and the local minima trap, and propose new potential functions and random force based algorithms. For the algorithm verification, we use WiRobot X80 with three ultrasonic range sensor modules.

Original languageEnglish
Pages (from-to)303-319
Number of pages17
JournalJournal of Intelligent and Robotic Systems: Theory and Applications
Volume66
Issue number3
DOIs
Publication statusPublished - May 2012

Bibliographical note

Funding Information:
Acknowledgements This research is supported by the Ubiquitous Computing and Network (UCN) project, Knowledge and Economy Frontier R&D Program of the Ministry of Knowledge Economy (MKE) in Korea as a result of UCN’s subproject 11C3-T3-50S.

Keywords

  • Navigation
  • Obstacle avoidance
  • Potential function
  • SAROG

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