Ruijie Zheng @ruijie_zheng12
Computer Science PhD student at University of Maryland Research Intern @GEAR Lab Ex-Intern: @MSFTResearch ruijiezheng.com College Park, MD Joined October 2021-
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👐How can we leverage multi-source human motion data, transform it into robot-feasible behaviors, and deploy it across diverse scenarios? 👤🤖Introduce 𝐇𝐄𝐑𝐌𝐄𝐒: a versatile human-to-robot embodied learning framework tailored for mobile bimanual dexterous manipulation.
🚀 ASAP is now FULLY open-source! 🚀 ✅ Humanoid RL motion tracking & delta actions ✅ Motion retargeting to any humanoid ✅ ASAP Benchmark motions + pretrained policies ✅ Sim2Sim & Sim2Real ready — run ASAP in sim or on your G1 robot! 🔗 github.com/LeCAR-Lab/ASAP…
NeurIPS rebuttal deadline is around the corner 😬 I’m not an expert, but thought I’d drop my two cents on how to write a good rebuttal, especially for folks writing their first few. Hope this helps someone! 🧵👇 (And please chime in with your own tips; let’s crowdsource the…
Great minds think alike! 👀🧠 We also found that more thinking ≠ better reasoning. In our recent paper (arxiv.org/abs/2506.04210), we show how output variance creates the illusion of improvement—when in fact, it can hurt precision. Naïve test-time scaling needs a rethink. 👇…
Great minds think alike! 👀🧠 We also found that more thinking ≠ better reasoning. In our recent paper (arxiv.org/abs/2506.04210), we show how output variance creates the illusion of improvement—when in fact, it can hurt precision. Naïve test-time scaling needs a rethink. 👇…
ICML is coming to an end — side adventure: a group photo with my undergrad advisees (plus a 16 year old high schooler tagalong claiming he only learns through ChatGPT), and a rabbit park visit with the best team.
Provably Learning from Language Feedback TLDR: RL theory can help us do better inference-time exploration with feedback. Work done with @wanqiao_xu, @ruijie_zheng12, @chinganc_rl, @adityamodi94, @adith387 📰 arxiv.org/pdf/2506.10341 📍EXAIT Best Paper/Oral Sat 8:45-9:30 am
If you missed @wanqiao_xu’s presentation, here are some of our slides! (The workshop will post full slides later on their website) Paper: arxiv.org/abs/2506.10341
Best paper award goes to the team @ruijie_zheng12 @adith387 @adityamodi94 and @chinganc_rl, and best photography award goes to @chinganc_rl 🥳
As many of you know, I’ve been spending my sabbatical at Capital One with Bayan Bruss @cbbruss’s amazing team, under Prem Natarajan and Milind Naphade. Bayan has been the most supportive and visionary leader: deeply attentive to the technical work across the group. Excited to…
There’s been heated debate lately: Can generative AI truly self-improve? ✅Some say yes, pointing to models learning like curious humans. ❌Others say no, invoking the first law of thermodynamics: You can’t get something from nothing. No new info, no gain. 🧠 But what if the…
There’s been heated debate lately: Can generative AI truly self-improve? ✅Some say yes, pointing to models learning like curious humans. ❌Others say no, invoking the first law of thermodynamics: You can’t get something from nothing. No new info, no gain. 🧠 But what if the…
Thanks for the recording! It was a great workshop!
Thanks for the recording! It was a great workshop!
Meet Casper👻, a friendly robot sidekick who shadows your day, decodes your intents on the fly, and lends a hand while you stay in control! Instead of passively receiving commands, what if a robot actively sense what you need in the background, and step in when confident? (1/n)
Decision-making with LLM can be studied with RL! Can an agent solve a task with text feedback (OS terminal, compiler, a person) efficiently? How can we understand the difficulty? We propose a new notion of learning complexity to study learning with language feedback only. 🧵👇
Training data collection is one of the biggest challenges in #Robotics. We're solving it with #NVIDIAIsaac GR00T-Dreams. By using #NVIDIACosmos world foundation models and generative AI, developers can create vast, realistic synthetic data at scale. Benefits: ✔️Cheaper &…
Check out GR00T N1.5, our latest GR00T robot foundation model. Compared with N1, N1.5 achieves much better cross embodiment posttraining performance and instruction following capability with a frozen VLM and several architecture & learning objective improvements.
Check out GR00T N1.5, our latest GR00T robot foundation model. Compared with N1, N1.5 achieves much better cross embodiment posttraining performance and instruction following capability with a frozen VLM and several architecture & learning objective improvements.
Anima introduced me to the world of graphical models, generative models, and tensors. As her first student, I witnessed how she built her lab from scratch, shaping its direction with vision and energy. Though I’m sure it was a challenging process, she never put any burden or…
Anima introduced me to the world of graphical models, generative models, and tensors. As her first student, I witnessed how she built her lab from scratch, shaping its direction with vision and energy. Though I’m sure it was a challenging process, she never put any burden or…
#CVPR2025 Our latest work LEMON will appear at CVPR CVinW spotlight talks tomorrow - a unified, scalable, efficient 3D LMM with elegant architecture design. Everything about 🍋 will be open-sourced this month. 🔗: computer-vision-in-the-wild.github.io/cvpr-2025/
Excited to give a short oral presentation on FLARE at Computer Vision in Wild workshop tomorrow starting from 2pm!
Excited to give a short oral presentation on FLARE at Computer Vision in Wild workshop tomorrow starting from 2pm!

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