Autonomous operation decision-making method of picking manipulator
AssigneeResearch Center of Intelligent Equipment, BAAFS
InventorsQINGCHUN FENG, YAJUN LI, YIFAN ZHANG, CHUANLANG PENG
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AssigneeResearch Center of Intelligent Equipment, BAAFS
InventorsQINGCHUN FENG, YAJUN LI, YIFAN ZHANG, CHUANLANG PENG
Estimating the term…
The present application relates to the technical field of manipulators and provides an autonomous operation decision-making method of a picking manipulator. The autonomous operation decision-making method of a picking manipulator includes: acquiring sample images of fruits and branches and constructing a plurality of virtual scenes, where each virtual scene includes a picking manipulator model, a fruit model, and a branch model; in the virtual scene, determining azimuths of a target picking point and a target picking plane of an end effector model as parameters and inputting the parameters to a reward function; performing reinforcement learning training on the picking manipulator in the plurality of virtual scenes according to the reward function to determine an optimal picking action function; and controlling the picking manipulator to execute a picking task in an actual environment according to the optimal picking action function.
An autonomous operation decision-making method of a picking manipulator, wherein the picking manipulator is provided with an end effector configured to pick a fruit off a branch;
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