Author

Jiabing Yang

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Preprint Oct 2026

ViDAL: A Visual Dynamics-Grounded Action Latent Space for Vision-Language-Action Models

Vision-Language-Action (VLA) models have become a central paradigm for robot policy learning, which predict actions in three forms: raw action chunks, discrete action tokens, or continuous action latents. However, existing action representations primarily model action trajectories, with limited consideration of the vis...

Yuan Xu, Yi-Xiang Chen, Qi-Sen Ma et al. · 0 citations

Preprint Aug 2026

BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation

BridgeVLA++ is developed by equipping BridgeVLA with a unified spatio-temporal memory architecture that models persistent spatial context and temporal interaction history that can reason over observation histories while preserving BridgeVLA's data efficiency and generalization capabilities.

Pei-Yan Li, Yuze Zhu, Yixiang Chen et al. · 2 citations · ⚡1

Preprint Aug 2026

XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments?

XEWorld is introduced, a controlled cross-embodiment testbed for world models that isolates embodiments by evaluating held-out robots within physically identical scenes, highlighting that achieving true cross-embodiment generalization requires architectural innovations that decouple visual appearance from underlying ph...

Yixiang Chen, Jiabing Yang, Yuan Xu et al. · 0 citations