SWARM
A particle swarm optimization for the motion planning of wheeled mobile robot
Guo Zhengxiong, Xinsheng Ge
- 发表年份
- 2010
- 引用次数
- 6
摘要
The optimal control problem of the motion planning for a wheeled mobile robot (WMR) is discussed in this paper. Based on the nonholonomic constraints, the motion planning problem of the wheeled mobile robot is transformed into an optimal control problem of the nonlinear system. A particle swarm optimization (PSO) algorithm of wheeled mobile robot's motion planning is proposed by using Fourier basis and spline approximation respectively. The results of numerical simulation show that this approach is effective for the motion planning.
关键词
Mobile robotMotion planningParticle swarm optimizationNonholonomic systemComputer scienceRobotMotion controlMotion (physics)Control theory (sociology)Artificial intelligence
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