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cs.RO2026
DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning
Mengqi Zhang, Sahil Khose, Simar Kareer +3
Generalizable robot manipulation requires policies that can anticipate how visual scenes evolve while executing language instructions. While recent Vision-Language-Action models be…
cs.RO2026
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternati…