Yuxiang Gao @_yxgao_
🤖️Robotics researcher @ JHU Baltimore, MD Joined April 2019-
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Here's a F.02 in my home, using Helix to do my laundry
Why hands? We get this question all the time. Why build a human-like hand instead of a simpler gripper or something with six fingers? The answer isn’t just about function. It’s about data. 🧵
I'm observing a mini Moravec's paradox within robotics: gymnastics that are difficult for humans are much easier for robots than "unsexy" tasks like cooking, cleaning, and assembling. It leads to a cognitive dissonance for people outside the field, "so, robots can parkour &…
Extrapolating this trend to robotics, i believe if one is doing sim2real they should prefer Autoregressive > Diffusion (compute bottleneck). But if they are doing real world training then Autoregressive < Diffusion (data bottleneck).. We don't empirically validate this for…
Extrapolating this trend to robotics, i believe if one is doing sim2real they should prefer Autoregressive > Diffusion (compute bottleneck). But if they are doing real world training then Autoregressive < Diffusion (data bottleneck).. We don't empirically validate this for…
On a street in Shanghai, a humanoid robot traffic coordinator is clearing traffic jams. Judging from the purple waistline and height, this is Fourier's GR1,which is 1.65 meters tall.
How can we leverage diverse human videos to improve robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling…
We’re excited to finally share what we’ve been assembling over the past few months! This is a field full of excitement and hope—but also one that’s constantly surrounded by noise and restlessness. In the waves of technological change, trends come and go, bubbles rise and burst,…
We’re excited to finally share what we’ve been assembling over the past few months! This is a field full of excitement and hope—but also one that’s constantly surrounded by noise and restlessness. In the waves of technological change, trends come and go, bubbles rise and burst,…
🦾How can humanoids unlock real strength for heavy-duty loco-manipulation? Meet FALCON🦅: Learning Force-Adaptive Humanoid Loco-Manipulation. 🌐: lecar-lab.github.io/falcon-humanoi… See the details below👇:
Meet 𝐀𝐌𝐎 — our universal whole‑body controller that unleashes the 𝐟𝐮𝐥𝐥 kinematic workspace of humanoid robots to the physical world. AMO is a single policy trained with RL + Hybrid Mocap & Trajectory‑Opt. Accepted to #RSS2025. Try our open models & more 👉…
I thought I understood VAEs and their limitations, but after reading this paper, I realized I didn’t—and even now, I still don’t know why VAEs don't work as stand-alone generative models. This paper proves that the optimal Gaussian VAEs should generate data distribution well.
🌟 Monthly LeRobot Update 🌟 🚀 New Features - PI0-FAST Policy added 📈 github.com/huggingface/le… - Rerun Integration for richer visualizations 📊 github.com/huggingface/le… - External Plugins: Custom classes without touching core code 🔧 github.com/huggingface/le… - Torchcodec Support:…
Happy birthday @LeRobotHF Thanks to @huggingface community and team for your trust 🤗 Things are just getting started 🚀
In my past research experience, finding or developing an appropriate simulation environment, dataset, and benchmark has always been a challenge. Missing features, limited support, or unexpected bugs often occupied my days and nights. Moreover, current simulation platforms are…
How to use simulation data for real-world robot manipulation? We present sim-and-real co-training, a simple recipe for manipulation. We demonstrate that sim data can significantly enhance real-world performance, even with notable differences between the sim and the real. (1/n)
the best researchers from Meta, Yale, Stanford, Google DeepMind, and Microsoft laid out all we know about Agents in a 264-page paper [book], here are some of their key findings:
How would gpt-4o image generation work? Speculation: - gpt-4o generates visual tokens, and the diffusion decoder decodes them to pixel space. - Not just diffusion but Rolling Diffusion-like group-wise diffusion decoder, top->bottom ordering.
Thrilled to announce GR00T N1, our open foundation model for generalist humanoid robots! GR00T N1 adopts a dual-system design, leverages the entire data pyramid for model training, and supports various robot embodiments. GR00T N1 embodies years of fundamental research, spanning…
Fourier announces ActionNet, a large-scale bimanual manipulation dataset with 30K teleoperated trajectories (~140 hours) of humanoid interaction in randomized tabletop scenes.
🚨Announcing our #ICLR2025 Oral! 🔥Diffusion LMs are on the rise for parallel text generation! But unlike autoregressive LMs, they struggle with quality, fixed-length constraints & lack of KV caching. 🚀Introducing Block Diffusion—combining autoregressive and diffusion models…

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