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Robots Read Pushes and Obstacles in the Shape of Their Own Prediction
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Robots Read Pushes and Obstacles in the Shape of Their Own Prediction
Researchers at Lund University show that a robot can identify pushes, sustained forces, and obstacle collisions with up to 98.5 percent accuracy by analyzing the temporal shape of its own servo-current prediction errors, without cameras, touch sensors, or force gauges.
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