WorldEngine AI

[WorldEngine AI @worldengine_ai]

Let us know if any of the students are interested in building the life changing robotics system!

[Yunlong Song @realyunlong]

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.

[WorldEngine AI @worldengine_ai]

Post-train & deploy your foundation model for real-world evaluations. It would be fun to see how your model performs with interesting tasks.

[Shiduo Zhang @Joey_zh_]

#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.

https://t.co/c3Dy1CrI0L。

[WorldEngine AI @worldengine_ai]

Huge congrats to @gs_ai_ on GENE-26.5.

Human level dexterity is finally here. Working alongside the Genesis team has been one of the most rewarding journeys---late nights, hard problems, and a shared belief that robotics is far from solved.

Proud that WorldEngine contributed to the "fuel for the engine." Dexterity got pushed to the limit across hardware, data, models, and system integration---and we're down to solve it one data point at a time.

✉️ [email protected]

[Genesis AI @gs_ai_]

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.