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cs.RO2026
What Makes a Good Symbol for Hybrid Discrete-Continuous Planning?
Yiyuan Pan, Changliu Liu, Jiayuan Mao
The physical world has continuous state and action spaces, yet robot planning often benefits from hybrid discrete-continuous formulations that explicitly expose combinatorial struc…
cs.CV2026
Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio
Utkarsh A. Mishra, Yongxin Chen, Danfei Xu +3
Generative video foundation models exhibit strong compositional priors, yet world-action models (WAMs) and video-action models (VAMs) often lose these priors after finetuning on ro…
cs.RO2026
ForceBand: Learning Forceful Manipulation with sEMG
Botao He, Zhi Wang, Linna Kuang +8
Human demonstrations are a scalable data source for learning robot manipulation policies. However, common sources of human demonstration data, such as motion-capture trajectories a…