Sliding Mode Based Obstacle Avoidance and Target Tracking for Mobile Robots

Abstract

In this work, we suggested a solution for the basic tasks of a mobile robot capable of being a building block of an intelligent agent in group. This solution includes obstacle avoidance and goal tracking implemented as two different controllers. A geometry based behavior arbitration is proposed for fusing the output of those two controllers. Proposed structure is tested both on simulations and on real robot with different scenarios. Results have confirmed the high performance of the method.