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Fine-tuning vision-language models with latent actions can dramatically improve robotic manipulation performance, revealing critical design choices that matter most.
Task execution time can be drastically cut while improving success rates by adapting motion speeds to the complexity of manipulation stages鈥攏o annotations required.
