摘要
路径规划技术是机器人控制技术研究中的一个重要问题 ,目前为止 ,其研究方法主要有两大类 :传统方法和智能方法。综述了有关机器人路径规划技术的研究方法 ,介绍了自由空间法等传统方法 ,同时讨论了基于遗传算法、模糊控制和神经网络等智能方法的路径规划技术 ,并展望了机器人路径规划技术的未来与发展趋势。
Path planning is an important problem in robot control. At present, there are two major methods: traditional method and intelligent method.Some methods of robot path planning are surveyed, and traditional methods such as free space method are introduced. Meanwhile,the path planning methods based on genetic algorithms, fuzzy logic and neural networks are discussed respectively. Finally, the future development of robotic path planning is forecast.
出处
《控制工程》
CSCD
2003年第z1期152-155,共4页
Control Engineering of China
基金
教育部骨干教师基金资助项目(教技司[2000]65号)
关键词
机器人
路径规划
智能规划
传统规划
粗糙集
robot
path planning
intelligent planning
traditional planning
coarse set
