OTHER
Mobile robot path planning based on hierarchical hexagonal decomposition and artificial potential fields
Edwin Hou, Dan Zheng
- 发表年份
- 1994
- 引用次数
- 35
摘要
Abstract In this article, a new algorithm based on an artificial potential field and hierarchical cell decomposition technique is developed to solve the find‐path problem for a mobile robot. The complete map of the workspace including obstacle locations is assumed to be known a priori. The basic cell structure used for decomposition is a hexagon. The artificial potential field is based on an attractive force from the goal position and repelling forces from the obstacles. Computer simulations of the algorithm for various obstacle scenarios are also presented. © 1994 John Wiley & Sons, Inc.
关键词
ObstacleWorkspaceMotion planningDecompositionPotential fieldPath (computing)Mobile robotRobotComputer sciencePosition (finance)
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
开放获取📊 20,501 引用
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991