Sliding mode navigation control in intelligent space

Abstract

We present a general description for obstacle avoidance algorithms that can also describe the obstacle avoidance style (walking habit) of moving objects (human beings). A complex sliding mode based obstacle avoidance is presented as a test method, which is learned and modeled by this general description. We present simulation results of three control systems by considering the robot movement control approximated by a benchmark-type one-dimensional model.