Author

Keru Zhou

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Preprint Oct 2026

Ego-CEVR: Learning Cross-Embodiment Visual Representations from Human Egocentric Videos

As egocentric video becomes increasingly available for embodied learning, an important research question is how to turn this low-cost, scalable source of data into robot manipulation capabilities. Egocentric videos naturally provide rich context for high-level task understanding, while real-robot demonstrations with wr...

Ke-Ru Zhou, Zhi-Rui Fang, Xin-Run Xu et al. · 0 citations

Jul 2026

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation

KAM-WM is presented, a framework that extracts a coarse directional interaction cue from a frozen latent video world model without rollout or world-model fine-tuning and indicates that a frozen video model can provide a useful first-order visual prior for control without the test-time cost of future rollout.

Xinyu Shao, Keru Zhou, Guowei Huang et al. · arXiv.org · 1 citation