Joonho Lee

Roboticist at Neuromeka, KR

[Joonho Lee @junja941]

Here we show one of our experiments on AI + automation in factory. Built from certified industrial hardware, the system is fully compliant in the industrial enviroment.

It achieved:
1. 99.4% SR (verified by actual QC tests)
2. 5.5 hours continuous run
3. Near-human takt time

[Joonho Lee @junja941]

Sim-to-real with some model-based abstraction allows for very high success rate & fast learning

[Joonho Lee @junja941]

+ a new arm that we made to experiment contact-rich stuff

[Joonho Lee @junja941]

https://t.co/T8hMnQISBu
RL-based low-level reflexive controller + RL insertion policy

[Younghyo Park ✈️CoRL @younghyo_park]

Can a robot assemble tight-clearance parts using only its proprioception? No camera, no tactile sensor, no F/T sensor, no joint torque sensing, no priors over the object geometries or poses: just joint position readings.

It actually can! Blind policies trained in simulation insert pegs, mesh gears, and thread nuts, and the peg policy works zero-shot in the real world. Here's what we found 🧵

Joint work with @BronarsToni, my wonderful co-first author, who's on the job market right now! Advised by @kushalk_ and @pulkitology.

[Joonho Lee @junja941]

😕👍

[Qiayuan Liao @qiayuanliao]

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: https://t.co/6gc9WKm9qY
Demo: https://t.co/OHRvx5ogQY

[Nico Bohlinger ✈️ CoRL @NicoBohlinger]

⚡️ A goal that is close in space can be far away in time

⏳ Introducing ChronoSRL:
We give the critic of self-supervised RL a temporal geometry, so embedding distances measure the time to reach a goal

🤖 Play with the policy on quadruped task and more:
https://t.co/JqJmKFKVRJ

[Ismail Geles @isgeles]

the highlight of IROS

[Dyna Robotics @DynaRobotics]

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.

[AK @_akhaliq]

Contrastive Language Models

HF: https://t.co/hyaprtTydE

[Jemin hwangbo @HwangboJemin]

https://t.co/ubwcOWd0Kv

[Joonho Lee @junja941]

https://t.co/uzVn25IdMY
The peak

[Arthur Allshire @arthurallshire]

check out our sim and code release! some super useful envs for evals, rl etc for people to try out!

[Diogo Almeida @CompleteSkeptic]

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution

[Joonho Lee @junja941]

@breadli428 @ieee_ras_icra 🚬

[Nikhil Sobanbabu CoRL✈️ @NikhilSoban353]

🎉 FADA is now accepted to CoRL 2026!
Along with the code, we’re releasing something a little different: a timeline of the research journey behind FADA — the ideas we tried, what failed, the choices we made, and the lessons we learned along the way.
https://t.co/PihUSzMH1P

Research papers are great at telling us what worked. They are much worse at telling us everything researchers tried before getting there.

We think exposing that trajectory can give the community a much richer and more honest ground-truth context particularly in the age of AI-assisted robotics research.

We’d love to see more projects share their research journeys this way: turn your update slides to a shareable timeline!!.

Understanding why certain choices were made (and which mistakes didn’t work) is just as valuable as the final result.

Inspired from @breadli428's efforts on adding limitation threads to his works and @TairanHe99's timeline videos in VIRAL.
🧵

[Jay Chooi @ CoRL 2026 @chooi_jeq]

GPT-6 Astra scored 95% on a robot control task, up from Fable 5.1's 40%, with 6.2x fewer output tokens at 2.3x lower cost. 🧵

[Joonho Lee @junja941]

@ChongZzZhang +1

[Dyna Robotics @DynaRobotics]

A new breakthrough is coming. Stay tuned.

[Takahiro Miki @ki_ki_ki1]

Something I was working on.