Very excited to share what our research team at Covariant has been working on: RFM-1, our latest Robotics Foundation Model. Built on top of high-quality multimodal data the Covariant robotics fleet has collected over the years, this project embodies our commitment to pushing the boundaries of how AI can interact with and understand the physical world. We're eager to share this milestone with the community and invite feedback and collaboration. Read more at https://t.co/Cc3Wmyk2N7
Interested in what ABB's competition looked like? We made a new *uncut* 30+ min video to show an ABB/Covariant robot picking lots of difficult items from the original challenge, from rubber 🦆 to 🍎to💊bottles. (Full video here: https://t.co/LueU0uJvMG)
After 2+ years in stealth, we’re excited to launch today! https://t.co/9BOXOL63rh
Thank you to our team, customers, partners and investors, we couldn’t have done it w/o your support and trust.
Exciting milestone, even more exciting journey ahead!
https://t.co/y5nFuaDdVw
Our team of five neural networks, OpenAI Five, has started to defeat amateur human teams (including a semi-pro team) at Dota 2: https://t.co/Q5UD85p6iQ
Our paper is appearing in ICLR workshop! We train an intelligent reading agent with "human behaviors" and speed up RNN inference without loss of accuracy. (https://t.co/FNDWr02gUi)