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cs.RO2026
Latent Policy Steering: An Efficient and Flexible Framework for Cross-Embodiment Transfer
Yiqi Wang, Mrinal Verghese, Jeff Schneider
The performance of learned robot visuomotor policies depends heavily on the size and quality of their training data, yet collecting high-quality demonstrations remains costly for r…
cs.RO2026
Human Preference Modeling Using Visual Motion Prediction Improves Robot Skill Learning from Egocentric Human Video
Mrinal Verghese, Christopher G. Atkeson
We present an approach to robot learning from egocentric human videos by modeling human preferences in a reward function and optimizing robot behavior to maximize this reward. Prio…