Zixuan Chen

@C___eric417

PhD student at @UCSanDiego; Bachelor's Degree at @FudanUni

San Diego, CA

Joined August 2016

Replies Reposts Media

Zixuan Chen
@C___eric417
Nov 7, 2025
Pretty impressive!
Yitang Li
@li_yitang
Nov 7, 2025
Meet BFM-Zero: A Promptable Humanoid Behavioral Foundation Model w/ Unsupervised RL👉 lecar-lab.github.io/BFM-Zero/ 🧩ONE latent space for ALL tasks ⚡Zero-shot goal reaching, tracking, and reward optimization (any reward at test time), from ONE policy 🤖Natural recovery & transition
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Zixuan Chen
@C___eric417
Aug 13, 2025
super cool! Looking forward to the paper!
Weishuai Zeng
@weishuaizeng
Aug 12, 2025
Excited to share our latest progress on building Behavior Foundation Model for Humanoid Robots🎈 Forward roll, hip-pop dance, even cartwheel -- all the things you have never imagined the little G1 could do -- we have made it based on ONE model👌 Stay tuned for paper and code😉
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Zixuan Chen
@C___eric417
Jun 17, 2025
Thanks Xiaolong for summarizing our work. Engineering is quite important in robotics. For motion tracking, even though DeepMimic was proposed by @xbpeng4 years ago, there are still tons of things to do to make it work on real robot.
Xiaolong Wang
@xiaolonw
Jun 17, 2025
This work is not about a new technique. GMT (General Motion Tracking) shows good engineering practices that you can actually train a single unified whole-body control policy for all agile motion, and it works in the real world, directly with sim2real without adaptation. This is
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Zixuan Chen
@C___eric417
Jun 17, 2025
🚀Introducing GMT — a general motion tracking framework that enables high-fidelity motion tracking on humanoid robots by training a single policy from large, unstructured human motion datasets. 🤖A step toward general humanoid controllers. Project Website:
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Zixuan Chen
@C___eric417
May 6, 2025
At the core of human skills is the coordination of whole-body. By doing whole-body teleoperation on robots, we can unleash the potential of coordinated movements and unlock the possibilities of collecting high-quality full-body robot data.
Yanjie Ze
@ZeYanjie
May 6, 2025
🤖Introducing TWIST: Teleoperated Whole-Body Imitation System. We develop a humanoid teleoperation system to enable coordinated, versatile, whole-body movements, using a single neural network. This is our first step toward general-purpose robots. 🌐humanoid-teleop.github.io
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