A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
A fully 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 planning 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. How the FPE performs robot navigation is explained by its gradient directions and shown by its gradientdoi:10.1109/fuzzy.2006.1681754 dblp:conf/fuzzIEEE/Tu06 fatcat:gcog4i66evehredklv4h326xme