MixVLA: Adaptive Mixing of Non-Invariant Information for Generalizable Vision-Language-Action Models
cs.RO
Submitted: 2026-10-02
Updated: 2026-10-02
Sources
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- Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
- VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search
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- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies