OpenVLA: An Open-Source Vision-Language-Action Model

arXiv:2406.09246v1 Announce Type: cross
Abstract: Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training new behaviors from scratch, we can fine-tune such vision-language-action (VLA) models to obtain robust, generalizable policies for visuomotor control. Yet, widespread adoption of VLAs for robotics has been challenging as 1) existing VLAs are largely closed and inaccessible to the public, and 2) prior work fails to …

abstract action adoption arxiv change combination control cs.lg cs.ro data diverse fine-tune internet language language data policies potential robot robots robust scale scratch skills training type vision vision-language vision-language-action model