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Learning is an important capability for an individual robot, which provides an effective way for understanding, planning, and decision-making in a complex environment. For robot motion control, a local weighted k-nearest neighbors states selection method based on environment information and task information is presented. Based on this method, TD reinforcement learning algorithm is combined to reduce...
A new approach called dynamic programming field for modeling the robot environments is presented and it's beneficial to the path planning. The dynamic programming field, which is approximated by Neuro-Dynamic Programming, records environmental information through a neural network and can be used to compute the approximate optimal cost between any two points. Based on the dynamic programming field,...
As one typical research task in multi-robot system, coordinated hunting is of great significance in military, safe guard etc. In this paper, a multi-robot coordinated strategy with dynamic alliance is proposed to handle with the cases of more than one evader. The alliance conditions are given and the allied hunting based on circular-elliptic besieging circles is designed. The simulations are conducted...
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