Shoutout to the work already building on SONIC. @yuewang314's Humanoid Everyday and UH-1, @MacSchwager's LEGS, and the work coming out of Masayoshi Tomizuka's group, including Sparse Diffusion Policy and human-robot collaboration. More on SONIC: nvlabs.github.io/GEAR-SONIC/

If you are serious about robotics (aka Physical AI), hire students from the Robotics, Systems and Control master’s at @ETH . In my opinion, it is THE strongest robotics program in the world: •control, •optimization, •perception, •locomotion, •aerial robotics, •learning, •systems engineering, robot dynamics If the student has GPA > 5.75, you can probably skip the technical interview.

#RSS2026 Call for participants 📢 Excited to announce our RSS 2026 Workshop: Post-Training for Robotics Foundation Models, together with the first Real-World Reinforcement Learning Challenge! The workshop is held on July 13 in Sydney. posttraining-for-robotics.gi…。

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.