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The thesis presented a heterogeneous players strategy using in RoboCup. The strategy used fuzzy evaluation to obtain the evaluation results of all heterogeneous players on various roles, and constructed a fuzzy inference system to dynamically select equal heterogeneous players for various roles. The simulation experiments and competition results show the application is feasible and effective.
Autonomous robot navigation is an important research field because these robots can solve problems where the human presence is impossible, dangerous, expensive, or uncomfortable. In this paper, a new hybrid autonomous navigation method is introduced. The algorithm is composed of visibility graph based global navigation and simple potential field based local navigation parts. It applies a new automated...
This paper presents a decentralized control algorithm for swarm of robots based on geometric approach. Our objective is to build a swarm that can demonstrate collective behavior. The control algorithm, which is executed by all the members of the swarm, is presented in details. Our simulation results show that group behaviors such as aggregation, obstacle avoidance and flocking are achieved successfully.
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