Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-01T07:27:39.668Z Has data issue: false hasContentIssue false
  • English
  • Français

Soccer robot path planning based on the artificial potential field approach with simulated annealing

Published online by Cambridge University Press:  19 August 2004

Pei-Yan Zhang ,
Tian-Sheng Lü  and
Li-Bo Song
Pei-Yan Zhang
Affiliation:
School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai 200030 (China). E-mail: [email protected]
Tian-Sheng Lü
Affiliation:
School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai 200030 (China). E-mail: [email protected]
Li-Bo Song
Affiliation:
College of Mechanical Engineering, Donghua University, Shanghai 200051 (China).
Get access Rights & Permissions [Opens in a new window]

Abstract

The paper presents research on the APF approach for solving the GNRON and local minima problems. The repulsive potential function is modified in order to solve the GNRON problem. A simulated annealing algorithm integrated into the APF has solved the local minimum problem. The improved APF is applied to the path-planning problem of soccer robots. The simulated experiments show the validity of this approach.

Keywords

Path planningArtificial potential fieldSimulated annealingGNRON problem
Type
Research Article
Information
Robotica , Volume 22 , Issue 5 , October 2004 , pp. 563 - 566
Copyright
© 2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)