🔥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

For me, this is the first work featuring event-vision after Davide Scaramuzza sparked my interest back in Zurich. The paper has been a cool collaboration with Alexander Amini, Johnson Wang (co-lead), Wilko Schwarting, @zhijianliu1996, @SongHan_MIT, Sertac Karaman, and Daniela Rus. 3/n

🤖How far are we from 𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐬𝐭 𝐫𝐨𝐛𝐨𝐭𝐬? 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐢𝐧𝐠 the 1st Workshop on "Towards Generalist Robots" at #CoRL2023! Join us to discuss how to scale up robotic skill learning, with an amazing lineup of speakers! CfP: generalist-robots.github.io Details 👇

Can GPTs generate infinite and diverse data for robotics? Introducing RoboGen, a generative robotic agent that keeps proposing new tasks, creating corresponding environments and acquiring novel skills autonomously! code: github.com/Genesis-Embodi… 👇🧵 (better with audio)

This is happening tomorrow with an amazing list of speakers and panelists! Join us in Sequoia 1 from 8:30 to 17:30, or via zoom: cmu.zoom.us/j/6037623931

#NeurIPS23 Even wonder when Generative AI be useful for designing real-world robots. Excited to share our oral paper DiffuseBot! Diffusion models and Differentiable Physics are all you need! 😀😀😀😀 Project page: diffusebot.github.io

(1/4) 🎉 Excited to share our ICLR'24 paper on "Curiosity-driven Red-teaming for Large Language Models"! We bridge curiosity-driven exploration in reinforcement learning (RL) with red-teaming, introducing the Curiosity-driven Red-teaming (CRT) method. #ICLR24 #AI #LLMSecurity

LLM-generated plans in abstract spaces lack physical grounding. Human demonstrations in high-dimensional continuous spaces lack labels for motion constraints. MIT CSAIL-led research grounds language plans in demonstrations as “manipulation modes” to build robust policies:

Today we introduce Liquid Foundation Models (LFMs) to the world with the first series of our Language LFMs: A 1B, 3B, and a 40B model. (/n)

🚀 Introducing NormalFlow: the state-of-the-art tactile tracking algorithm! Just by touch 👇, it precisely tracks objects—even with minimal texture—and can even reconstruct objects! 🌟 project page: joehjhuang.github.io/normalflow/ paper (RA-L): ieeexplore.ieee.org/document/10766… ⬇️(1/4)

[1/4] 🚨 Excited to introduce Embodied Red Teaming (ERT) – an approach based on vision-language models (VLM) to automatically red team your favorite robotic foundation models!

Welcome to Genesis. Very exciting project to advance robotics and beyond via generative physical simulation.

Soft robot in Genesis!! Hope more ppl can have fun with soft robotics

We’re excited to share some updates on Genesis since its release: 1. We made a detailed report on benchmarking Genesis's speed and its comparison with other simulators (github.com/zhouxian/genes…) 2. We’ve launched a Discord channel and a WeChat group to foster communications

Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from Eclipse Ventures, Khosla Ventures, Bpifrance, HSG, and visionaries