AI RESEARCH
Towards Generalizable Robotic Manipulation in Dynamic Environments
arXiv CS.CV
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ArXi:2603.15620v1 Announce Type: new Vision-Language-Action (VLA) models excel in static manipulation but struggle in dynamic environments with moving targets. This performance gap primarily stems from a scarcity of dynamic manipulation datasets and the reliance of mainstream VLAs on single-frame observations, restricting their spatiotemporal reasoning capabilities. To address this, we