Abstract
In this research, we propose a method to acquire operation characteristics in the control strategy by an expert operator.
In this paper, we use CMAC learning algorithm which is one method of the neural network.
The ordinary CMAC learning algorithm is able to learn multiple inputs and one output control mapping, but the control output to learn generally becomes plural in case of human operator's control characteristics.
Therefore, in this method, we propose the modified CMAC learning algorithm to learn three operation parameters when a human operator controls an omni-direction mobile robot.
