Robotic Throwing: Overcoming Obstacles with Precision
A new approach in robotic throwing integrates potential field state representation, improving accuracy in cluttered environments. Success rates soar with unseen objects and obstacles.
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Generative AI improves a wireless vision system that sees through obstructions
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Sensorimotor World Model: Learning Action-Aligned Representations via Inverse Dynamics Regularization
Perception for action suggests that representations of the world should be shaped not by visual fidelity alone, but by their relevance for a
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