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SYSTEMS AND METHODS FOR TRANSFER OF MATERIAL USING AUTONOMOUS MACHINES WITH REINFORCEMENT LEARNING AND VISUAL SERVO CONTROL

机译:具有强化学习和视觉伺服控制的自动机进行材料传输的系统和方法

摘要

Systems and methods enable an autonomous vehicle to perform an iterative task of transferring material from a source location to a destination location, such as moving dirt from a pile, in a more efficient manner, using a combination of reinforcement learning techniques to select a motion path for a particular iteration and visual servo control to guide the motion of the vehicle along the selected path. Lifting, carrying, and depositing of material by the autonomous vehicle can also be managed using similar techniques.
机译:该系统和方法使自动驾驶汽车能够执行迭代任务,以更有效的方式使用强化学习技术的组合来选择运动路径,从而将物料从源位置转移到目的地位置,例如将污垢从堆中移走。进行特定的迭代和视觉伺服控制,以引导车辆沿着所选路径运动。也可以使用类似的技术来管理自动驾驶车辆的起重,搬运和存放。

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