An improved artificial potential field algorithm based on nonuniform cell decomposition
Yanyi Yang, Yingming Zhang, Xingchen Li
- Year
- 2017
- Citations
- 2
- Access
- Open access
Abstract
Path planning of mobile robot is a complex issue involves computing and optimizing a collision-free path between initial position and destination, which requires the method reliable and efficient. This paper introduces an improved artificial potential field (APF) based on nonuniform decomposition method. The nonuniform decomposition can not only expand the range of robot's workspace and increase the possibilities of feasible paths existing, but also promote the efficiency of path planning. The improved APF algorithm solves some key problems of traditional APF. At last, the result of simulation verifies the effectiveness of this method.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991