🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Thanks AK for sharing our new work！

BAIR presents LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning proj: llarva24.github.io abs: arxiv.org/abs/2406.11815

Can instruction tuning be used in robotics?🚨Excited to release LLARVA, our new Vision-Action Instruction-tuned LMM for robotics! Key aspects: • Perform vision-action instruction tuning • Align vision and action modalities • Pretrained on robotic instruction data Berkeley AI Research

Vision-language models perform diverse tasks via in-context learning. Time for robots to do the same! Introducing In-Context Robot Transformer (ICRT): a robot policy that learns new tasks by prompting with robot trajectories, without any fine-tuning. icrt.dev [1/N]

Have you wondered whether LLMs could directly execute robot tasks?🚨 Excited to share our work, *RoboPrompt*, a framework that enables off-the-shelf text-only LLMs to directly predict robot actions with ICL demonstrations without training! Berkeley AI Research davidyyd.github.io/roboprompt/

📢 Call for Papers! Last chance to hang with the CV crowd in Hawaii 🌴 We're hosting the 4th MMFM Workshop at #ICCV2025 — submit your work on vision, language, audio & more by July 1 🗓️ Also check out the CVPR edition 👉 #3 MMFM Workshop 🔗 sites.google.com/view/mmfm4thwo…

🚀 Introducing LeVERB, the first 𝗹𝗮𝘁𝗲𝗻𝘁 𝘄𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗩𝗟𝗔 (upper- & lower-body), trained on sim data and zero-shot deployed. Addressing interactive tasks: navigation, sitting, locomotion with verbal instruction. 🧵 ember-lab-berkeley.github.io/LeVERB-Website/