Zhou Xian
@zhou_xian_
PhD student in robotics & AI @CMU_robotics. (Occasionally) landscape photographer.
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,…
Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries…
Congrats to @zhou_xian_ and @gs_ai_ for gathering a dream team to build future dreamland for robotics!
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,…
🚀 General-purpose robotics is the next multi-trillion-dollar opportunity. After years scaling complex hardware systems at @Tesla and @Rivian, I’ve seen up close the limits of single-purpose robotics—hello, Production Hell! That’s why I’m incredibly excited about…
Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries…
It's increasingly evident that synthetic data—including simulation—will be essential for training reliable robotic skills. Big kudos to the Genesis team for pushing the frontier!
Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries…
We're entering an era where frontier AI researchers and robotics AI startups are getting valued and "traded" like star athletes — with seed rounds looking like full-on acquisitions from just a few years ago. It’s intense, but also exciting. The pace of progress is so fast that…
Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries…
Virtual Community provides an online pipeline that automatically generates 3D scenes from real geospatial data, performing comprehensive cleaning and enhancement of both geometry and texture — including mesh simplification, texture refinement, object placement, and automatic…
World-scale GTA for humans and robots! Super cool work from @gan_chuang 's group built on Genesis
World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or…
How to learn dexterous manipulation for any robot hand from a single human demonstration? Check out DexMachina, our new RL algorithm that learns long-horizon, bimanual dexterous policies for a variety of dexterous hands, articulated objects, and complex motions.
1/ AI is moving fast — but the way we evaluate it hasn’t kept up. That’s why we built xbench, now launching publicly after 2 years of development at HSG. Born as an internal tool, it’s evolved into a resource for the broader AI community. 🌍
Excited to announce the “Structured World Models for Robotic Manipulation” workshop at #RSS2025 in LA! Website: swomo-rss.github.io Call for Papers (Deadline: May 23): swomo-rss.github.io/index.html#call Come join us with a stellar lineup of speakers to discuss the various important &…
Introducing Vega: our first general-purpose robot developed in under 6 months at @DexmateAI ! 🤖✨ 💪 High-payload arms for heavy lifting 🖐️ Dexterous hands for challenging manipulation tasks 📏 Foldable torso & arms -- compact for transport, yet reaches up to 7'2" 🔄…
Introducing Vega: 🤖 @DexmateAI's newest robot that makes complex manipulation tasks simple. ✨ A step closer to intelligence and automation. 🚀 🎥 Watch now: youtu.be/PecqfiJNwQI #Robotics #AI #Automation
Just updated our solid simulation tutorial on GitHub with a new subspace simulation example! Excited to keep expanding it every year as I teach physics-based animation. github.com/phys-sim-book/…
ProtoMotions v2 is out 🧵 github.com/NVlabs/ProtoMo… New and improved scene creation for easily creating consistent scenes across different simulators. Dramatically simplified workflow! Better design with less inheritance. You asked, we delivered: Genesis support now included!
🚀 Can we make a humanoid move like Cristiano Ronaldo, LeBron James and Kobe Byrant? YES! 🤖 Introducing ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills Website: agile.human2humanoid.com Code: github.com/LeCAR-Lab/ASAP
The ultimate test of any physics simulator is its ability to deliver real-world results. With MuJoCo Playground, we’ve combined the very best: MuJoCo’s rich and thriving ecosystem, massively parallel GPU-accelerated simulation, and real-world results across a diverse range of…
Thank you for posting an extremely comprehensive benchmark. I have not had time to verify the results but the numbers make more sense now in context and it's great to see the impressive scalability of Genesis compared to existing platforms. The analysis here is quite in-depth!
We’re excited to share some updates on Genesis since its release: 1. We made a detailed report on benchmarking Genesis's speed and its comparison with other simulators (github.com/zhouxian/genes…) 2. We’ve launched a Discord channel and a WeChat group to foster communications…
We've successfully run parallel RL training on GenesisEnv for MacOS🤪! On an Apple M2 Pro (16GB) with mps device, a policy can be trained from scratch and then visualized *locally* in just 3-5 minutes. Dev on the go, anytime, anywhere with just a Mac! #Genesis #GenesisEnv #MacOS
Genesisの強化学習で獲得した動きを六脚ロボの実機に反映してみました‼ #Genesis #多脚ロボ #Hexapod