Greg Brockman: For example, a few years ago we made...| Robocrunch AI

For example, a few years ago we made the painful decision to shut down our robotics project. It was producing great results, but we'd discovered we could move even faster in data-rich virtual domains. Most of that team started working on code, which led to Codex & Copilot.
— Greg Brockman (@gdb) May 12, 2022

We fully believe in the power of open source research. The code include ICLR'22 LocoTransformer: https://t.co/nuDBi50kIl Multi-Modal Delay Randomization (MMDR): https://t.co/tD0zohR5vh Great efforts from @Mehooz2, @RchalYang on making both sim and real robot code work.

Shared by Xiaolong Wang at 4/26/2022

It's worth adding that there are some recent works that look at a similar problem: https://t.co/y9DkAm48e3 https://t.co/76Fti0kdKI Unlike these, we use temporal info from the videos, focus on low-resource imitation learning, & consider real robot downstream tasks.

Shared by Chelsea Finn at 3/24/2022

"Premature optimisation" is a familiar sin in programming (Knuth), but I think my field of CV/robotics is increasingly suffering from "premature evaluation", with every component benchmarked to death but little thought given to how they could combine into something bigger! 1/2

Shared by Andrew Davison at 4/13/2022

I think a great talk! A bit odd to claim data-driven robotics is 4/5 years old 🤔 That ignores SO MUCH PRIOR WORK - even if you only consider RL

Shared by Jeannette Bohg at 11/14/2021

For me this is part of an important long-term effort on computational unification and efficiency in #SpatialAI, prototyping highly parallel algorithms which could be brought "close to the pixel". See https://t.co/0MjvQfnoru for more discussion, and https://t.co/DYgeZVaBHO on GBP.

Shared by Andrew Davison at 4/19/2022

Excited to share my recent talk at the Stanford Robotics Seminar on “Objects, Skills, and the Quest for Compositional Robot Autonomy” featuring projects from my first year @UTCompSci and our lab’s vision of building the next generation of autonomy stack. https://t.co/Z4ZgaSlwK2

Shared by Yuke Zhu at 3/4/2022

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