SWARM
Mobile Robot Path Planning Algorithm Based on Particle Swarm Optimization of Cubic Splines
Wang Juan
- 发表年份
- 2009
- 引用次数
- 12
摘要
A novel algorithm based on particle swarm optimization(PSO) of cubic splines is proposed for mobile robot path planning. The path is described by string of cubic splines,thus the path planning is equivalent to parameter optimization of particular cubic splines. PSO is introduced to get the optimal path for its fast convergence and global search character. Experimental results show that a collision-avoidance path can be found fleetly and effectively among obstacles by the proposed algorithm. The planned path is smooth which is useful for robot motion control.
关键词
Particle swarm optimizationMotion planningComputer sciencePath (computing)Convergence (economics)Any-angle path planningMathematical optimizationRobotMobile robotAlgorithm
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
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002