A Predict-Fuzzy Logic Communication Approach for Multi Robotic Cooperation and Competition

Abstract

This paper presents a new intelligent communication strategy for multi robots’ cooperation and competition, which combines the explicit with implicit communications via using the prediction of robotic behavior and a fuzzy communication approach. The multi robotic system employs a host computer and a team of mobile robots that understand the semantics and grammar as well as observe the codes of conduct. Based on the intelligent communication strategy, two robots playing a zero-sum game of hide-and-seek and two cooperative robots competing against a third robot have been explored. The results of simulation show that the new intelligent communication strategy and the algorithms for cooperation and competition used in the multi-robot system work successfully

The Inverse Spanning Tree of a Fuzzy Graph Based on Credibility Measure

“…Concerning the insufficiency of statistical data in some real applications, or the parameters are subjective or vague, the edge weights cannot be characterized by probability distributions via statistical techniques. In these situations, the problem parameters can be considered as fuzzy variables or uncertain variables by an expert system (see, e.g., [9], [10]), and then solved by fuzzy set theory [11] or uncertainty theory [12]. In the view of fuzzy variables, Zhang et al [13] initiated a notion of fuzzy α-minimum spanning tree by means of credibility measure, and then formulated the fuzzy inverse spanning tree problem as a fuzzy α-minimum spanning tree model and a credibility maximization model, which were solved by some genetic algorithmbased algorithms.…”

Chapter 8: Robot Cooperation and Swarm Intelligence

“…Even though there is no clear conclusion on which type of communication is better for robot cooperation: implicit communication can fulfill some tasks, while explicit communication can improve flexibility of multi-robot systems. Recent work took advantage of implicit and explicit communications in order to improve cooperation and competition between robots[81].…”