A decision-theoretic approach to fuzzy behavior coordination

We propose a novel approach to behavior-based control, which combines fuzzy logic with multiobjective decision theory. Fuzzy logic provides powerful tools for formulating sophisticated behavior-based systems for robot control. However, it suffers from problems associated with resolving behavioral conflicts, which are mainly due to the deficiencies of fuzzy inference techniques. Hence, we propose to formulate the inference mechanism using a multiobjective decision-theoretic approach, which provides formal tools for behavior coordination and resolving conflicts in a principled manner. Preliminary experimental results are reported.