OpenVLA, an open-source Vision-Language-Action model, presents a 7-billion parameter model pretrained on 970k robot episodes. It outperforms RT-2-X and Octo, focusing on finetuning and efficient inference, achieving RT-2X performance at 7x fewer parameters. The model aims to change how robots learn new skills by leveraging a combination of Internet-scale vision-language data and diverse robot demonstrations.
OpenVLA is a VLM for robot control, open-source & available for the community: https://t.co/5jmeX2pqN5 Awesome collaboration led by @moo_jin_kim, @KarlPertsch, @siddkaramcheti W.r.t. large-scale robotic learning, this is an important step in making VLAs accessible. A thread 👇 https://t.co/03HChp0j7a
🚨New fully open multi-robot generalist VLA🚨 OpenVLA makes accessible one of the most important paradigms in robotics + AI today, VLAs. - works 0-shot on many robot embodiments - focuses on finetuning and efficient inference - RT-2X performance (!) at 7x fewer params (!!) https://t.co/ieT2BbHsuy
OpenVLA: An Open-Source Vision-Language-Action Model - Presents a 7B open-source vision-language-action model, pretrained on 970k robot episodes from the Open X-Embodiment dataset - Outperforms RT-2-X and Octo proj: https://t.co/wdTFFhAyIK abs: https://t.co/alDZtgK6dQ https://t.co/T3DBlG55QH
OpenVLA: An Open-Source Vision-Language-Action Model abs: https://t.co/5seAq9xBk7 project page: https://t.co/vr7u1mdY5w code: https://t.co/tAHz15bVrC Presents OpenVLA, a 7B param open-source vision-language-action model finetuned from Llama-2 combined with a visual encoder that… https://t.co/t3pZFfNnkv
OpenVLA An Open-Source Vision-Language-Action Model 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 https://t.co/0R5Vt5MuGu
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models Achieves leading performance across various benchmarks with only 2 million training data repo: https://t.co/9ZCypFze6k abs: https://t.co/rxLPTQTkVu https://t.co/v8JjhLKUre