CLAP: Converting Vision-Language Models into Vision-Language-Action Models via Language-Prompted Actions

from Embodied AI 101 · host Shaoqing Tan

Converts any pretrained vision-language model into a vision-language-action model with zero architectural changes by prepending natural-language action descriptions; reaches 90.8% success on LIBERO with a 2B model after less than 6 hours of post-training.

Episode metadata supplied by the publisher feed · Published Jul 13, 2026

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CLAP: Converting Vision-Language Models into Vision-Language-Action Models via Language-Prompted Actions

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