摘要
研究一种基于神经网络的移动机器人路径规划算法,充分利用神经网络的融合性和并行性提高移动机器人路径规划算法的运算速度。此算法也可以解决机器人的全局路径规划和局部路径规划问题,仿真结果表明这种算法可以快速可行地实现无碰撞优化路径规划,并且对动态环境具有较好的适应性。
A path planning algorithm based on neural network for mobile robots is introduced. It makes full use of the data fusion and parallel process of the neural network to improve the calculation speed of the algorithm. The algorithm also solves the problems of global path planning and local path planning for mobile robots. Simulation results show that the algorithm ensures quick and viable optimization of the non-collision path and adapts to the dynamic environment well.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第6期56-59,共4页
Journal of South China University of Technology(Natural Science Edition)
