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cs.RO2026
Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation
Tony Tao, Jason Jingzhou Liu, Ruslan Salakhutdinov +1
General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learnin…
cs.RO2026
Pixel-UMI: Learning Environment-Aware Whole-Body Manipulation from Sensorized Human Demonstrations
Jason Jingzhou Liu, Tony Tao, Deepak Pathak +1
Sensorized human demonstrations offer scalable data for mobile manipulation, but embodiment differences complicate policy learning. We present Pixel-UMI, a pipeline for learning en…
cs.RO2026
FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
Steven Oh, Jason Jingzhou Liu, Tony Tao +5
Contact-rich manipulation requires force sensitivity, but many robot arms lack dedicated force sensors due to their high cost. We present Neural External Torque Estimation (NEXT),…