首页 /研究 /A particle swarm optimization for the motion planning of wheeled mobile robot
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

查看 SWARM 分类全部论文