A multi-group robot cooperative control method and control system based on reinforcement learning
A technology of group robot and cooperative control, applied in the direction of control/regulation system, two-dimensional position/channel control, non-electric variable control, etc., can solve the problem of multi-group robot algorithm difficult to efficiently avoid information interaction, etc., to improve navigation efficiency , the effect of improving efficiency
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[0048] Such as figure 1 As shown, the multi-group robot cooperative control method based on reinforcement learning provided by the present invention includes the following steps:
[0049] Step 1. Rasterize the environment of the robot to obtain the environment grid, so that the channel information is converted into a finite state set, and each group of robots performs intensive learning on the environment according to the finite state set to generate a state action table;
[0050] Step 2, each robot in the group shares reinforcement learning results with each other;
[0051] Step 3: Avoidance control is performed when the robots in the groups meet, and the state-action table in each group is shared to determine the action selected by the robot in the current state, thereby further generating a set of state-actions in the entire environment;
[0052] Step 4, use the generated action set of the whole environment state to carry out collaborative control on each group of robots. ...
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