AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Robots operating safely in cluttered everyday environments often need to infer scene geometry from partial observations. Methods that detect objects in 2D and reconstruct them independently struggle in such scenes: a missed object is never reconstructed, a merged detection can fuse two objects, and separately reconstru...
The Torque Adaptation Module (TAM), a learned module that adapts the torque commands sent to the robot to match the behavior of an ideal robot, is introduced and shows that TAM improves zero-shot real-robot execution compared to online system identification and RMA baselines and enables robust dynamic manipulation perf...
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