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EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields

EA-WM is presented, an Event-Aware Generative World Model that effectively closes the loop between kinematic control and visual perception, and introduces event-aware bidirectional fusion blocks that modulate cross-branch attention, capturing object state changes and interaction dynamics.

Zhaoyang Yang, Yurun Jin, Lizhe Qi et al. · 5 citations

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation

IntentVLA is introduced, a history-conditioned VLA framework that encodes recent visual observations into a compact short-horizon intent representation and uses it to condition chunk generation and improves rollout stability and outperforms strong VLA baselines.

Shijie Lian, Bin Yu, Xiaopeng Lin et al. · 6 citations

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