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Reconfigurable robots for multi-robot cooperation or reconfiguration can cope with challenging tasks such as planetary exploration or disaster search. They help reduce cost and difficulties of developing a single for each task. Based upon the concept of reconfigurability, a novel wheel-arm mobile robot system is designed. It consists of a chassis with two parallel driving wheels, a robot arm with...
The RobuCup 2D soccer simulation has been used as the basis for successful international competitions and research challenges and to simulate the interest of the public for robotics and artificial intelligence (AI). In cooperation strategy designing, researchers often employ the method of machine learning to optimize the simulation system, as the research growing, Q-learning algorithm, which is a...
Multi-agent system (MAS) is one branch of distributed artificial intelligence (DAI). A multi-agent system is comprised of several intelligent agents working together toward some goal or the completion of some task. Because of fusing the coordination-cooperation of multi-agent, Machine Learning and Intelligent Control, the Robocup (The Robot World Cup) is a good platform to research the decision-making...
Multi-agent system is a major research domain in artificial intelligence. The RoboCup (robot soccer cup) provides an ideal testing platform for MAS. In order to making an appropriate decision in a group of agents, each agent has to take the behavior of the other agents into account. In a dynamic environment, these dependencies may change rapidly as a result of the continuously changing state. First,...
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