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

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