This invention describes a robot that can learn new arm configurations. When a force is applied to the robot's arm or gripper, its control system adjusts the arm's elbow angle while keeping the gripper in its current spot. The robot then remembers this new arm position in relation to the gripper's location.
Why it matters: Since 2019, advancements in AI and machine learning for robotics have made adaptive control systems, like those learning from force feedback, significantly more robust and easier to implement. This could simplify the software development for such a system.
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