🏓🤖 Our humanoid robot can now rally over 100 consecutive shots against a human in real table tennis — fully autonomous, sub-second reaction, human-like strikes.
ToddlerBot is accepted to CoRL, and we will bring Toddy (2.0 version) to Seoul for a trip. Come and say hi to Toddy if you're around😁! Our arxiv paper is also updated with more technical details in the appendix: arxiv.org/abs/2502.00893
Delivering the robot close enough to a target is an important yet often overlooked prerequisite for any meaningful robot interaction.
It requires robust locomotion, navigation, and reaching all at once.
HeAD is an automatic vision-based system that handles all of them.
Delivering the robot close enough to a target is an important yet often overlooked prerequisite for any meaningful robot interaction.
It requires robust locomotion, navigation, and reaching all at once.
HeAD is an automatic vision-based system that handles all of them.
Every second eight new posts hit my screens. So many that we can't think about what it all means.
What does it mean?
Robot learning is speeding up.
Stay alive, we are about to see wonderous things.
Every second eight new posts hit my screens. So many that we can't think about what it all means.
What does it mean?
Robot learning is speeding up.
Stay alive, we are about to see wonderous things.
excellent work on whole-body reaching, with an intuitive modular approach!
also, great to see my former labmate @yufei_ye collecting data in-the-wild with Aria glasses 🙂
excellent work on whole-body reaching, with an intuitive modular approach!
also, great to see my former labmate @yufei_ye collecting data in-the-wild with Aria glasses 🙂
How do we learn motor skills directly in the real world? Think about learning to ride a bike—parents might be there to give you hands-on guidance.🚲
Can we apply this same idea to robots?
Introducing Robot-Trains-Robot (RTR): a new framework for real-world humanoid learning.
🚀 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…
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 🔊
They say the best time to tweet about your research was 1 year ago, the second best time is now. With RAI formerly known as Boston Dynamics AI Institute, we present DiffuseCloC - the first guidable physics-based diffusion model. diffusecloc.github.io/website/
Introducing Mobi-π: Mobilizing Your Robot Learning Policy.
Our method:
✈️ enables flexible mobile skill chaining
🪶 without requiring additional policy training data
🏠 while scaling to unseen scenes
🧵↓
🧑🤖 Introducing Human2Sim2Robot! 💪🦾
Learn robust dexterous manipulation policies from just one human RGB-D video.
Our Real→Sim→Real framework crosses the human-robot embodiment gap using RL in simulation.
#Robotics#DexterousManipulation#Sim2Real
🧵1/7
Can we collect robot dexterous hand data directly with human hand?
Introducing DexUMI:
0 teleoperation and 0 re-targeting dexterous hand data collection system → autonomously complete precise, long-horizon and contact-rich tasks
Project Page: dex-umi.github.io
I will present ARCap at ICRA 2025 this Wednesday 11:30, Room 411. After that, there will be a live demo near my poster, feel free to come and play with ARCap! 🥽
I will present ARCap at ICRA 2025 this Wednesday 11:30, Room 411. After that, there will be a live demo near my poster, feel free to come and play with ARCap! 🥽
45 Followers 1K FollowingA data set, data annotation sales, selling high-quality annotation solutions similar to AI for science/autonomous driving/lean4 data topics。
729 Followers 460 FollowingResearch scientist @NvidiaAI animation group. I obtained my PhD from University of Toronto @UofT, Vector Institute @VectorInst 😃
111 Followers 395 FollowingResearch Scientist @Apple | Sharing notes on @EmbodiedAIRead | Prev @Uber_ATG ,@CMU_Robotics, @Tsinghua_Uni l Robot Learning, Embodied AI | Opinions are my own
1K Followers 4K Following🌍 18 • Founder @yasnylabs ✨ 🤖 Building @HeyUrPal — more announcements soon 👀 🧪 Inventing what comes next 🌌 And probably some other cool stuff.
3K Followers 6K FollowingBiomedical Engineering researcher turned Systems Designer,Machine learning, ai +Robotics,cryptography etc. I fall in love with Machine learning every week :)
30 Followers 213 Followingfounder https://t.co/IcrYN2zEc5 – first ML-powered clinic in the EU; Previously ML infra & k8s at @google; Inspired by physical AI, RL & world models
4 Followers 95 FollowingI am a last-year undergraduate student in Tsinghua University (THU), Beijing. I am also a research intern at General Vision Lab, BIGAI.
100 Followers 1K FollowingPhD @ University of Toronto soon graduating. I work on controllable video generation & world models inspired by Bayesian Brain Theory. Open to AI/ML roles!
799 Followers 219 FollowingPhD candidate at ETH RSL. I’d say I’m a humanoid trainer but it’s kinda weird. But yea I’m a humanoid (and dog?) trainer at @leggedrobotics.
538K Followers 17K FollowingThe best from AI community | Ex-Microsoft, Rackspace, Fast Company | Wrote eight books about the future | Silicon Valley robots, holodecks, BCIs, and startups.
117K Followers 376 FollowingNVIDIA Robotics inspires visionaries and developers to create the next generation of AI-driven robots and explore the world of physical AI.
5K Followers 416 Following#RobotLearning Professor (#MachineLearning #Robotics) at @ias_tudarmstadt of @TUDarmstadt (Part of @ELLISforEurope, @Hessian_AI and @DFKI)
589 Followers 109 FollowingProfessor of Computer Science @ Oregon State University. AI and Robotics research emphasis on learning/planning for humanoid robot and AI for Agriculture.