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Robotic Soccer Multiple robotic systems deal with research subjects like group architecture, resource conflict, origin of cooperation, learning and, geometric problems [8]. Behavior emergence, cooperation, task allocation, herding, etc., are the issues related to multiple robotic systems. Collective behaviors emerge and it is quite interesting to study the impact of an incremental modification to an individual robot on the collective behavior. The collective behavior can be cooperative or competitive in nature. Cooperative behavior needs association with other robots for a mutual benefit and it increases the total utility of the system. In pursuit-evasion and robot soccer systems, competitive behaviors dominate. Selfishness on the part of robots/agents may help the systems to evolve. Cooperative behaviour in robotics has different fundamental research directions based on the task to be accomplished, the mechanism of cooperation used and the progress in system performance being made. Task decomposition, task allocation, learning, and rationality will dominate in studies on joint collaborative behaviors of agents working towards a goal with common interests or rewards. The mechanism of cooperation through interaction relates to the requirements for information or other resources, and to the issues of correctness and fault-tolerance. The system performance is concerned with the quantified measures of cooperation. Research Scholars: Dr. Xiao Peng, Ms. Liu Xin, Mr. Jason Chan Kit Wai |
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