Research on Hierarchial Fuzzy Behavior Learning of Autonomous Robot

Aiming at the changing and dynamic unstructured environments of autonomous robot, this paper analyses these kinds of effects on robot in details and thus presents a local plan architecture based on hierarchical fuzzy logic to implement the basic navigation behaviors and the coordination between these behaviors to produce a type-2 hierarchical fuzzy logic control. The problem is solved that the number of the rules increase exponentially with the number of variables involved. Experiments show that this approach is helpful and reliable especially to path planning of autonomous robot.