Abstract
A full autonomous robot needs a flexible map to solve frequent change of robot situations and/or tasks. In this paper, based on the second type of fuzzy modeling, Fuzzy Potential Energy (FPE) is proposed to build a map that facilitates to plan robot tasks for real paths. Three rules for making use of FPEs are derived to ground the basic ideas of building a map for task navigation. To code qualitative information into quantity, the proposed FPE provides a way to quickly And a path for conducting the designated task or solving a robot under an embarrassing situation. This paper pioneers novel design and application of fuzzy modeling for a special map that exploits innovation usage of task navigation for real paths. For emphasizing the benefits of the FPE, two illustrative examples, containing three spatial patterns, doors, corridors and cul-de-sac, are also included.
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