基于神经网络的自适应机器人运动研究

The research of the auto-adapted robot movement based on nerve network

针对机器人运动控制中,如何快速准确地避开未知障碍物,提高其自主性,重点研究了基于神经网络理论的机器人运动控制技术,并提出了一种集自适应、鲁棒性、和高效性于一身的障碍规避控制算法,详细介绍了该算法的控制原理、实现方法。给出了机器人运动控制模型,通过调节该模型中输入参数和控制参数实现对机器人运动路径的控制。

In view of the robot movement control, how fast accurately avoids the unknown obstacle, enhanced its independency, It has studied with emphasis based on the nerve network theory robot movement control technology, and proposed one kind of obstacle avoided control algorithm with auto -adapted, robustness, and effectiveness, in detail introduced this algorithm control principle, the realization method. Has produced the robot movement control model, through adjusts in this model to input the parameter and the controlled variable realiZation to the robot movement way control.