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Robot’s In-Hand Eye Maps Surroundings, Determines Hand’s Location
Before a robot arm can reach into a tight space or pick up a delicate object, the robot needs to know precisely where its hand is. Researchers at Carnegie Mellon University’s Robotics Institute have shown that a camera attached to the robot’s hand can rapidly create a 3-D model of its environment and also locate the hand within that 3-D world. Doing so with imprecise cameras and wobbly arms in real-time is tough, but the CMU team found they could improve the accuracy of the map by incorporating the arm itself as a sensor, using the angle of its joints to better determine the pose of the camera.

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