More details on Meta FAIR’s latest advancements supporting Advanced Machine Intelligence (AMI): BLOG LINK There is an immense amount of potential for innovation and development in the field of human-robot collaboration — and we’re excited to release Meta PARTNR, a research framework that includes a large-scale benchmark, dataset and large planning model to jump start additional research in this exciting field. Additional resources PARTNR research paper: https://go.fb.me/2ta3y4 PARTNR website: https://go.fb.me/1vy7vh PARTNR repo on GitHub: https://go.fb.me/7bbfz6
Meta PARTNR is a research framework supporting seamless human-robot collaboration. Building on our research with Habitat, we’re open sourcing a large-scale benchmark, dataset and large planning model that we hope will enable the community to effectively train social robots. pic.twitter.com/8gugouU7Wm
— AI at Meta (@AIatMeta) February 7, 2025
More on our newest releases and impact of the open source work developed by Meta FAIR ➡️ https://t.co/8JoflkN3MT pic.twitter.com/j8bOkS7EN2
— AI at Meta (@AIatMeta) February 7, 2025