This reminds me of the good old times at Stanford! But at that time, we don't have @Galaxea_AI's R1 robot running :p Now, as the co-founder of Galaxea, our team and I proudly provide hardware robots for Stanford and many other institutes! Hope you guys love it! And R1 Pro & R1

Thanks for sharing our new work!

Humans can easily perform complex contact-rich tasks with vision and touch, but these tasks remain challenging for robots. How can we resolve this from both the algorithm side and the data side? Introducing Reactive Diffusion Policy (RDP),a slow-fast imitation learning algorithm

🤖 Ever wondered what robots need to truly help humans around the house? 🏡 Introducing 𝗕𝗘𝗛𝗔𝗩𝗜𝗢𝗥 𝗥𝗼𝗯𝗼𝘁 𝗦𝘂𝗶𝘁𝗲 (𝗕𝗥𝗦)—a comprehensive framework for mastering mobile whole-body manipulation across diverse household tasks! 🧹🫧 From taking out the trash to

Diffusion policies are powerful, but often require ~100 or more demos for effective performance. Can we save the labor and train policies with 𝐨𝐧𝐥𝐲 𝐨𝐧𝐞 human-collected demo? Check out 𝑫𝒆𝒎𝒐𝑮𝒆𝒏, a method for synthetic demo generation ✨ demo-generation.github.io (1/n)

A great improvement based on our 3D Diffusion Policy. Now you can use just one demo to generalize to the whole space with high success rates. Congrats on Zhengrong Xue !

Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 Based on Gemini 2.0, they bring capabilities such as better reasoning, interactivity, dexterity and generalization into the physical world. 🧵 goo.gle/gemini2-roboti…

Reactive Diffusion Policy (RDP) has been accepted to RSS 2025! Code of RDP and TactAR are fully open-source now! github.com/xiaoxiaoxh/rea… github.com/xiaoxiaoxh/Tac… #RSS2025

TesserAct is out on Hugging Face Learning 4D Embodied World Models

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 👉

🤖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

Excited to introduce PyRoki ("Python Robot Kinematics"): easier IK, trajectory optimization, motion retargeting... with an open-source toolkit on both CPU and GPU

🚀 Struggling with the lack of high-quality data for AI-driven human-object interaction research? We've got you covered! Introducing HUMOTO, a groundbreaking 4D dataset for human-object interaction, developed with a combination of wearable motion capture, SOTA 6D pose

Teaching robots to learn only from RGB human videos is hard! In Feel The Force (FTF), we teach robots to mimic the tactile feedback humans experience when handling objects. This allows for delicate, touch-sensitive tasks—like picking up a raw egg without breaking it. 🧵👇

🤖 Ever dreamed of controlling a humanoid robot to perform complex, long-horizon tasks — using just a single Vision Pro? 🎉 Meet CLONE: a holistic, closed-loop, whole-body teleoperation system for long-horizon humanoid control! 🏃‍♂️🧍 CLONE enables rich and coordinated

We have developed a new tactile sensor, called e-Flesh, with a simple working principle: measure deformations in 3D printable microstructures. Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! 🧵

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,

Excited to open-source GMR: General Motion Retargeting. Real-time human-to-humanoid retargeting on your laptop. Supports diverse motion formats & robots. Unlock whole-body humanoid teleoperation (e.g., TWIST). video with 🔊