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2026.10.17 · Sat

#具身智能

#具身智能

Research

Research papers, technical reports, benchmarks and datasets.

9/24Thu
  1. Microsoft Research62

    Microsoft Research: offloading physical-AI inference from robots can improve task performance and battery life

    Microsoft Research systematically measured mobile-robot manipulation workloads and found that moving physical-AI inference from an onboard GPU to an edge or cloud GPU can improve task performance and extend battery life.

    Why it matters: Microsoft Research measured robot inference workloads and reports performance and battery-life data for offloading inference from onboard hardware to edge or cloud GPUs.

8/22Sat
  1. Jim Fan · X69

    NVIDIA and Berkeley open-source T-Rex methodology for tactile robot learning

    Jim Fan announces T-Rex, an open-source tactile robot learning methodology developed through a collaboration between NVIDIA and Berkeley. Its mixture-of-transformer architecture pairs a slow visuomotor expert with a fast tactile expert running at 4 touch ticks per vision tick; a 50-hour (~5,500 episodes) synchronized robot play dataset collected on tactile hand hardware with 22 degrees of freedom is available today on HuggingFace. Extending EgoScale, its training recipe combines human egocentric video pretraining with tactile robot play mid-training, which Fan says helps bridge contact-free pretraining and contact-rich manipulation.

    Why it matters: T-Rex offers a transferable approach to contact-rich robot learning by combining human video pretraining, synchronized tactile robot data, and separate visual and tactile processing rates.

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