cool!

Bringing robot teleoperation to a new level!

Amazing whole-body teleoperation!

Really impressive!

Single-leg balance with a Bruce Lee kick? Absolutely insane.

Very cool. Quite aligned: x.com/RogerQiu_42/st…

For years, I’ve been tuning parameters for robot designs and controllers on specific tasks. Now we can automate this on dataset-scale. Introducing Co-Design of Soft Gripper with Neural Physics - a soft gripper trained in simulation to deform while handling load.

There are so many tracking paper nowadays. One policy that can track all fragile motions is impressive. Checkout this GMT paper.

All with one policy😋 General Full-body general tracker!

Meet GMT: a new framework by the Zixuan Chen team that enables high-fidelity motion tracking on humanoid robots via a single policy trained on large, unstructured human motion datasets.

Coordinating diverse, high-speed motions with a single control policy has been a long-standing challenge. Meet GMT—our universal tracker that keeps up with a whole spectrum of agile movements, all with one single policy.

This work is not about a new technique. GMT (General Motion Tracking) shows good engineering practices that you can actually train a single unified whole-body control policy for all agile motion, and it works in the real world, directly with sim2real without adaptation. This is

Impressive work. Lots of works this year shows good engineering can really demystify WBC. There is no more excuse for crappy policies. Next steps: making WBC policy more accessible, making it easier to interface with vision-language.

The performance looks good! Congrats.

This is awesome! Using generative models to create tons of robot manipulation data—super exciting direction from Jianglong Ye. Can’t wait to see more!

So many works have shown that humanoid robots can now almost replicate any human motion. It’s time to move on to the next goal: making robots truly understand what to do. This is a great work that takes a solid step forward.

ACE‑F combines foldability, cross-platform control, and sensorless force feedback—pushing teleoperation to the next level. Congrats!

I've been waiting for something like this for a while.

How can we leverage diverse human videos to improve robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling