Dynamic obstacle avoidance based on fuzzy inference and transposition principle for soccer robots

Abstract

The collision-eluding obstacle is the pivotal technology of mobile robot path-planning, which implements two or more robot movement without collision. In this paper, the fuzzy inference and artificial intelligence of transposition principles are utilized to analyze dynamic obstacles' intention and to decide the robot direction. We established a set of intention rules to make fuzzy inference. Finally, a collision-eluding obstacles algorithm based on the transposition principle and fuzzy inference is given and the simulation study is shown.