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    Study on Teamwork in Robot Football Game Based on Multi-Agent System (MAS)
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    Abstract:
    The robot football game requires several robots to accomplish task in an real-time antagonism environment, which provides a good platform for studying multi-agent cooperation. This paper applied a real-time multi-agent cooperation model to achieve teamwork in robot football game, the concrete contents include: description of strategy, cooperation based on strategy, formation and termination of cooperation and execution of cooperation.
    The MAS (multiagent system) has been one of the hot topics in artificial intelligence. We have to fully take advantage of coordination and cooperation between agents in order to improve performance of a MAS. RoboCup (Robot Word Cup) is an attempt to promote AI and robotics research, it is also an ideal platform for MAS research. The paper gives an analysis of cooperation strategy in RoboCup based on team development practice.
    Based on the analysis of problems existed in centralized control architecture for soccer robot system, an distributed control architecture of soccer robot system is proposed, robot soccer player role and associated cooperative mechanism is investigated extensively. Simulation result shows that the performance of distributed architecture is superior to the centralized control architecture.
    Soccer robot
    Citations (1)
    This paper describes architecture for multi agent mobile robot systems in market-based task allocation systems. Constructing architecture for multi-agent mobile robots system is heavily studied in the literature. Also market-based task allocation has been taken considerable attention in the literature. But combining these two areas is a new subject for the researchers. In this paper, we developed architecture for market-based task allocation systems and applied to an example with three mobile robots. In the study, a mobile robot contains 5 agents; each of these agents has a unique responsibility in the system. In the study agents communicate with each other through Open Agent Architecture (OAA). Also simulations on MobileSim simulator program are conducted to show the effectiveness of the proposed architecture.
    Agent architecture
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    In recent years, there has been considerable interest in the control of cooperative multi robot systems. The paper purposes a general formulation of the collaboration problem for a team of mobile robots. An application of the formulation is presented illustrating a heuristic strategy for collaborative exploration of a given unknown environment by means of a team of N robots with exploration capabilities.
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    We propose a learning architecture for cooperation in multirobot team competitions. This is a fully distributed, behavior-based software architecture, which facilitates flexible and reliable coordination of a team of robots performing tasks that may be subverted by another team of robots. Through the use of genetic algorithms, the robot team learns from past task execution experiences and improves its cooperation between the robots. The team performance in a game competition can be effectively improved. The feasibility of this architecture is demonstrated through simulation and practical experiments on a team of robots performing 3-on-3 robot soccer game.
    Citations (2)
    This paper presents a learning cooperation strategy based on fuzzy Q-learning in the interactive robot soccer game. The interactive robot soccer game bas been developed to let humans join in the game dynamically and entertain them more. Accordingly, cooperation strategy between humans and autonomous robots is very important for making the game more realistic. Autonomous robots move to their destination depending on the current positions of other robots and the ball. These destinations based on situation will be learned with the fuzzy Q-learning method through playing the game with human operators. In order to evaluate the usefulness of the proposed strategy for the cooperation between humans and robots, the simulation with a modeled human operator and the game with real human operators have been carried out.
    Interactive Learning
    Citations (1)
    Robot team work is a typical collaborative activity. How to organize robot teams and design robots are important and complex tasks. This paper explores the properties of agents and agent systems, introduces and revises the role-based collaboration model E-CARGO, demonstrates the essential design concerns of roles, agents, agent collaboration and agent teams, and proposes that roles can be used to form a fundamental structure, i.e., role nets, to design robot agent teams. Finally, it points out the research topics of role-based design for robot agent systems.
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    The soccer robot system consists of multi agents, with highly coordinated operation and movements so as to fulfill specific objectives, even under adverse situation. The coordination of the multi-agents is associated with a lot of supplementary work in advance. The associated issues are the position correction, prevention of communication congestion, local information sensing in addition to the need for imitating the human-like decision making. A control structure for a soccer robot is designed and several behaviors and actions for a soccer robot are proposed. Modified zone defense as a basic strategy and several special strategies for fouls are applied to SOTY and MIRO teams for MIROSOT (Micro-Robot World Cup Soccer Tournament).
    Soccer robot
    Tournament
    Citations (74)