16 citations · 19 across the 8 of their papers we have counts for
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cs.RO2026
Motubrain: An Advanced World Action Model for Robot Control
Motubrain Team, Chendong Xiang, Fan Bao +17
Vision-Language-Action (VLA) models generalize semantically well but often lack fine-grained modeling of world dynamics. We present Motubrain, a unified World Action Model that joi…
cs.RO2024★ 2 cited
CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting
Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu +2
Prior robot painting and drawing work, such as FRIDA, has focused on decreasing the sim-to-real gap and expanding input modalities for users, but the interaction with these systems…