Da Zhao

Phd student @CUHKofficial; Prev: @cuhksz, Research interests: Modular robot, Medical robot

[Da Zhao @dazhao1997]

Can’t wait to see a thing of robots win against a team of human in football.

[Skild AI @SkildAI]

We trained a robot to play football.

How? Self-play for 140 years in a virtual World Cup.

Meet the #Messinator:

[Da Zhao @dazhao1997]

@haqhuy Amazing work! Would you like to share how do you make that animation: many small components assemble into a big robot. It looks so cool!

[Da Zhao @dazhao1997]

@junior_rojas_d WOW. It's so amazing!

[Da Zhao @dazhao1997]

@TakaM0331 Impressive

[Da Zhao @dazhao1997]

It seems desirable that I bought a Vision Pro last month.

[Jim Fan @DrJimFan]

I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, "Physical Turing Test". I laid out the roadmap for solving Physical AGI as a simple parallel to the LLM success story. Be a good scientist, copy homework ;)

And stay till the end, more easter eggs and predictions for your polymarket!

00:30 DGX-1 origin story at OpenAI, I was there in 2016 signing with Jensen and Elon. Heading to the Computer History Museum!
01:42 The Great Parallel
03:31 Robotics, the Endgame
03:39 Why VLAs fall short
04:32 Video world models as the 2nd pretraining paradigm
06:09 World Action Models (WAM)
07:46 Strategies for robot data collection and the FSD equivalent to physical data flywheel for robot manipulation
11:06 EgoScale and the Dexterity Scaling Law we discovered recently
14:00 Physical RL: bridging the last mile
15:39 DreamDojo: an end-to-end neural physics engine for scaling RL in silico
17:00 Civilizational Technology Tree and my predictions for the near future. Spoiler: it's closer than you think.

Thanks to my friends at Sequoia for inviting me back to AI Ascent this year! I had a blast! Last year's talk is attached in the thread if you missed it.

[Da Zhao @dazhao1997]

The video and figure are generated by Grok.

[Da Zhao @dazhao1997]

I am developing a swarm of iron sphere robots driven by electromagnetic fields.
Do you consider this a future technology? I still wondering its applications.

[Da Zhao @dazhao1997]

I’m interested in applying learning-based dynamics to robotics. Could you recommend some good study resources?

[Da Zhao @dazhao1997]

@ZhongyuLi4 Congratulations!

[Da Zhao @dazhao1997]

The mechanical engineering in this robot looks incredible.

[1X @1x_tech]

NEO The Home Robot
Order Today

[Da Zhao @dazhao1997]

Modular self-reconfigurable robot will gradually become a trend.

[Chenhao Li @breadli428]

An incredibly fun demo of a modular legged wheel design that merges into a single unit by @DirectDriveTech at #IROS2025.

Currently, it is being driven by two people by hand 🤖

[Da Zhao @dazhao1997]

We are in the future.

[Reborn @reborn_agi]

https://t.co/jxVBlUUo3W

[Da Zhao @dazhao1997]

@tinlunlam Congratulations！👏👏👏

[Da Zhao @dazhao1997]

In the below link, you can see some streaming recordings of #ICRA2025.

https://t.co/JK15s2mmVG

[Da Zhao @dazhao1997]

(6/6) Compact Design: Eliminates the need for physical sensors, enabling miniaturization of the MAE for exploration in narrow respiratory tracts.

[Da Zhao @dazhao1997]

#ICRA2025 (1/6) Self-Sufficient 5-DoF Discrete Global Localization for Magnetically-Actuated Endoscope in Bronchoscopy.

[Da Zhao @dazhao1997]

(5/6) Accuracy: Demonstrates comparable performance to sensor-based methods with a position error of 6.7 ± 2.1 mm and orientation error of 9.5 ± 2.9° in experiments.