Jiafei Duan
@DJiafei
Assistant Professor at @NUScomputing | Robotics & AI PhD @uwcse | Host of @RoboPapers | Ex-@allen_ai robotics lead, @NVIDIA | Magician |
my opinion is my alone.
1.1K Following 7.8K Followers
Humanoid fighting looks easy. Humanoid catching is hard.
You have ~1 second to perceive, predict, and move your whole body to act.
Meet Reflex: our framework for catching human-thrown boxes on a @UnitreeRobotics G1 using onboard RGB-D.
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GPT-6 Astra vs Opus 5.5 vs Grok 4.7 vs MolmoAct2.
Real time. No sped-up demos. Zero-shot. No cherry-picking.
LLM robot control is progressing, but we’re definitely not there yet. Low-level control for robotics still matters according to Moravec’s paradox.
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People watching GPT-6 Astra demos on X may not realise how slow it actually is in real time. Here’s a rollout of GPT-6 Astra controlling the MolmoAct2 YAMs to complete this task in real-time.
There is potential, but i don’t think it’s practical for real-world robotics deployment yet.
I applaud your patience if you make it through the whole video.
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Is Opus 5.5 better than GPT-6 Astra at Physical Intelligence "literally" ?
put GPT-6 Astra and Claude Opus 5.5 in two Unitree G1s in MuJoCo Ring Fence.
Every 2 sim seconds: state → LLM → joint targets → act.
Goal: force the other out of the ring, and Astra won after 31 second.
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Let’s say 50,000 ICLR submissions × 3 reviews × 2 hours = 300,000 hours, or 150 person-years of expert labor.
Let’s use AI to fight AI slop. I would suggest adding an AI-only screening round, then send only the papers that pass to human reviewers.
Let’s not break the system.
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I’m losing track of the number of robotics startups these days.
But here’s the weird paradox: where are all the robots? Why don’t I actually see robots being deployed around me?
Randomly stumbled on this video and wow. We humans are amazing manipulators. Memorization of skillful actions plays a part, but the sense of touch is what's truly crucial.
