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This paper chiefly studies the problem of formation keep and Anti-Collision control of mobile multi-robots in an unknown environment. Algorithm combining global and local situation is used in path planning. Based on a global system path planning, each robot plans and performs its movement dynamically by adapting some distributive work mechanic according to(More)
Influencing factors on task group choosing in dynamic environment of multiple tasks were analyzed. A random descriptive model of robot behavior in task group choosing was proposed and experimentally validated. In establishment of the model, the time evolving rule in task group selection and the influence of dynamic task information on the evolving rule have(More)
Multi-robot cooperation is a Cutting-edge topic in multi-robot research, in which objects tracking is an important and typical problems. Based on the reinforcement learning and multi-agent theory, a decision-making algorithm and a cooperative formation control algorithm for multi-robot tracking are proposed, and more than one cooperation forms for chaser(More)
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