Learning Transferable Motor Skills
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Learning Transferable Motor Skills for Geometry-Aware Robotic Surface Tasks
arXiv:2605.24881v2 Announce Type: replace Abstract: Robotic surface-interaction tasks, such as spray painting or welding, require both accurate geometric planning and precise motion execution. While modern motion planners generate valid geometric paths, they often lack the expert motor patterns observed in human operators. Conversely, learning from demonstration often tightly couples task execution to the specific training geometry, limiting transferability.
Human-Like Neural Nets by Catapulting
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How Turkey Hacked the Hair Transplant Industry
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McLaren CEO Zak Brown Still Gets FOMO About Racing Cars
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Ahoy, DECmate II the little PDP-8 that could
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