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Replicated the laundry task in mujoco web, and also self-trained the RL WBC. By Opus 5.5 in 3 hrs. Agentic real2sim is nearly solved.

48,049 次观看 • 2 天前 •via X (Twitter)

35 条评论

Lindon Gao 的头像
Lindon Gao1 天前

Wow nice work!

Vector Wang 的头像
Vector Wang1 天前

Thanks Lindon! Thrilled to get acknowledged by you. I am always fascinated by what Dyna has done.

link 的头像
link1 天前

@ZeYanjie Cool! How did you trained a urr based rl policy?

Yannis He 的头像
Yannis He1 天前

forwarded to our eng 🫡

Saket Tiwari 的头像
Saket Tiwari2 天前

awesome! does mujoco web support cloth folding in sim?

Vector Wang 的头像
Vector Wang2 天前

Mujoco supports cloth simulation, but the performance is not good and can't really do real-time in web. So in the video the cloth is only presented as rigid body.

Leo 的头像
Leo2 天前

Did the three-hour build match how the towels behave, or mainly the robot and laundry room?

Vector Wang 的头像
Vector Wang2 天前

Mujoco supports cloth simulation, but the performance is not good and can't really do real-time in web. So in the video the cloth is only presented as rigid body.

Paolo AI 的头像
Paolo AI2 天前

@ttktjmt let's add this to MjSwan ?

Tim 的头像
Tim2 天前

Wow very impressive, I will look into that 🔥

Tony Rick 的头像
Tony Rick1 天前

laundry task in 3 hrs with opus is kinda nuts

Sergey 的头像
Sergey1 天前

Very cool, mindblowing what coding agents are capable of.

Ignacio López-Francos 的头像
Ignacio López-Francos1 天前

This is very cool

Feng Gao 的头像
Feng Gao2 天前

Was the whole simulation also replicated by Opus 5.5?

Vector Wang 的头像
Vector Wang2 天前

The robot trajectory is retrieved from official website (only kinematic) and Opus did the scene and robot dynamics to match this trajectory.

Haitong Wang 的头像
Haitong Wang1 天前

This is so cool. Are the towels modeled as well in sim?

Vector Wang 的头像
Vector Wang1 天前

Currently all rigid bodies so it's easier to run on web.

Chad L. 的头像
Chad L.2 天前

super cool!

Jakie PLA 的头像
Jakie PLA1 天前

3 hours? I could not help myself. This wants to live on a factory cart. Print brackets, bolt on wheels, and let Opus do the boring RL tuning. OH YES.

Max Riazantsev 的头像
Max Riazantsev1 天前

That looks great! Are you going to try the same with XLeRobot? It is cheap enough to actually test sim-to-real on the real hardware

Brian Zheng 的头像
Brian Zheng1 天前

Hi will you release the codebase

Alexander 的头像
Alexander1 天前

is this mujoco? the rendering quality look really high?

Vector Wang 的头像
Vector Wang1 天前

Mujoco web, so I can have additional renders customized (while still runs in real time in the browser)

Alexander 的头像
Alexander1 天前

what additional renders? how are you doing that

Vector Wang 的头像
Vector Wang1 天前

Basically I pre-baked the lighting using blender first.

Greyyy 的头像
Greyyy2 天前

The rigid-cloth clarification is useful. Which physical properties were estimated from the source assets, and which used defaults? A sensitivity sweep on friction and inertia would be interesting before treating this as a faithful dynamics model.

Jerry Chéng 的头像
Jerry Chéng2 天前

Wow this is insane! Did the real2sim modeled the robot as well? Would be great if you can share the harness - I have been trying lately as well

Vector Wang 的头像
Vector Wang2 天前

Robot file is extracted from Dyna's website and added physical properties, and also generated collision mesh. Didn't use special designed harness, just prompted my requirements in claude code.

Jerry Chéng 的头像
Jerry Chéng2 天前

That's sooo brilliant! Love the idea - and still amazed by the real2sim abilities, agentic robotics is here

刘海若(Hairuo Liu) 的头像
刘海若(Hairuo Liu)2 天前

will it be open-sourced?

Vector Wang 的头像
Vector Wang2 天前

After I confirm with Dyna, it’s their IP after all

xard 的头像
xard2 天前

again it needs to be proved effective when deployed in real world!

newuhe 的头像
newuhe1 天前

Nice work!How do you generate URR data?

Vector Wang 的头像
Vector Wang1 天前

~98% synthetic (random keyframes + min-jerk + step targets → FK), seeded by ~97 s of Dyna's public ego-replay clips

rozgo 的头像
rozgo1 天前

This looks really good. Nice work.

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