Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.

Using this improved evolutionary neural network, the complex relationship between the design parameters and the stability after reinforcement and the cost of the project is expressed successfully.

Based on neural network and combined with adaptive capability of reinforcement learning, it can execute velocity tracking control through online learning of neural network.