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Related publications and engineering projects
Hierarchical AI Agent architecture for general robot manipulation, compiling sparse demonstrations into reusable Skill Blocks with frozen foundation backbones and physical self-healing.
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First to extend Vision-Language-Action (VLA) models to Vision-Sound-Language-Action (VSLA) for manipulation, coupling causal audio memory and flow matching for sound-centric control.
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A 4D multi-view generative world model for robot demonstration augmentation, editing spatiotemporal appearances while strictly preserving recorded physical actions for downstream VLA policies.
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