DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination
DeCAL, a contact-aware dexterous vision-language-action model with visuo-tactile fusion, reports 71% average task success.
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DeCAL, a contact-aware dexterous vision-language-action model with visuo-tactile fusion, reports 71% average task success.
RoboSPA introduces a 527K-trajectory robotic benchmark with 280 task variants exposing VLA model weaknesses in spatial reasoning and long-horizon planning.
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