CS Ph.D. Student at @CSatUSC
Los Angeles, CA
Joined November 2023
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Toan Nguyen retweeted
the pace of research now is wild. supermimic came out 3 days ago. no code release. now there are already derivative works with full code.
it’s hard not to feel the pressure to always move faster.
One world, one policy.
MorphMimic shares a morphology-conditioned world model and policy across #Unitree G1, #AgiBot X2 Ultra, and #Booster T2—from the same dance in MuJoCo to a live browser demo and Unitree G1 hardware, with more to come. Code and report at lzyang2000.github.io/morphmi…
Huge thanks to the SuperMimic team for the inspiration!
Toan Nguyen retweeted
A million hours of what?
If we’re scaling human demonstrations for robot learning, what should each hour contain?
We built S1, our skill capture glove, alongside our robot hand to record joint movements that map to robot targets, with touch and video on the same timeline.
Toan Nguyen retweeted
We found a way to scale humanoid control that reduces GPU-hours by more than 1000×.
Across 129,514 motions, SuperMimic surpasses the state of the art (128 GPUs, 7 days) with 1 GPU in 3 hours.
Project: supermimic.github.io
Demo: supermimic.github.io/demo/
Toan Nguyen retweeted
🤖 Coming soon. 🚀
RP1 — The fully open-source humanoid robot.
Built for developers. Born for intelligence.
#RoboParty #RP1 #OpenSource
Toan Nguyen retweeted
This September we taught our hands card tricks. We'll show you how it was done.
LinkerHand O30
#linkerhand #linkerbot #cardtrick
Toan Nguyen retweeted
Today we give Atlas dexterous hands, with the strength to take on real work, and the simplicity for mass manufacturing. Like the body, the hands are designed with high fidelity simulation in mind, to enable sim-to-real RL. If you give dexterous hands to a robot, make them do dexterous things.
More thoughts here
Blog: bostondynamics.com/blog/robo…
Video: youtube.com/watch?v=4whgw2gL…
Toan Nguyen retweeted
Using large-scale GPU parallelized reinforcement learning in Isaac Sim, we are able to obtain a robust whole-body controller for Taku optimized for precise loco-manipulation.
Toan Nguyen retweeted
We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows.
Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.
Toan Nguyen retweeted
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab
Toan Nguyen retweeted
Transformer Transformer will be presented at #CoRL2026 🚀 See y'all in Austin!
Website: transformer-transformer.gith…
Video: youtube.com/watch?v=TTyjvPVF…
Paper: transformer-transformer.gith…
Toan Nguyen retweeted
Introducing Atlas:
The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.
Model the world, move the camera, and simulate space & time.
Toan Nguyen retweeted
New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Paper arxiv.org/pdf/2608.29769
Videos nemantor.github.io/sparse-3d…
We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles.
Toan Nguyen retweeted
After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.
This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.
It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.
Read the full blog post: dyna.co/news/scaling-custome…
Toan Nguyen retweeted
We built a small biped robot you can teach new tricks to.
Train it in simulation, run it on the real thing. Meet Microduck 🦆
$399, shipping before Christmas.
pollen-robotics.com/microduc…
github.com/pollen-robotics/m…
Toan Nguyen retweeted
What if robot hands could acquire dexterity once, then reuse it to learn downstream tasks much faster?
Introducing ADEPT: a pre-training & post-training paradigm using RL entirely in sim, then zero-shot deploying visuo-tactile policies in the real world.
🔗adept-dexterity.github.io with Dex team @NVIDIAAI
Toan Nguyen retweeted
Introducing GEN-1.5, a one-shot learner.
It can learn new tasks in a few seconds. Show it what to do, and it generalizes.
This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.
Toan Nguyen retweeted
Take a minute to watch this video; it's a cool one. This is not some AI generated video; this is the actual robot the Grip founders built, sorting real trash, at 1x speed.
Grip builds intelligent robots that pick the trash existing sorting machines can't.
Robotic manipulation just started working. Foundation models can now grasp the deformable, entangled, never-before-seen objects that waste streams are full of, on hardware that's finally cheap enough to make the economics work. We install modular robotic cells and every pick makes the whole fleet smarter.
We start with plastic contamination in organic waste, then expand to every stream where machines still leave the hard objects to humans. Grip is becoming the general manipulation platform for global waste infrastructure.
Founded by robotics engineers from ETH Zürich. Backed by Y Combinator (S26).
