Many people dont know but Mujoco cpu and MJWarp do have different implementations. The main difference we identified is how the engines represent contact between the cylindrical can and the fingers. At the exact same hand and can pose, CPU Mujoco generated 15 hand can contact points, versus 4 in the original MJWarp implementation. Those points determine the forces and friction supporting the grip. So TLDR, we asked astra to make an expert video which looked successful but we didnt know that it used normal Mujoco so our MJWarp in sim could never perform the action correctly.

Join us for an in-person Q&A with the authors of MuJoCo, Tom Erez & Yuval Tassa from @GoogleDeepMind at the Google booth (#411#) today at 3PM! Bring your questions. #ICLR2026# #MuJoCo#

the duck learnt to sit and stand on command. 15,000 iterations of PPO in 4h32min on my RTX 5090, 4096 MuJoCo environments in parallel. mean reward 1.7 at iteration 0, 133 at the end. in the clip: stand at 116 mm, sit at 59 mm, each switch under a second, and it holds the pose until the next command. third skill in the tree after walking and getting up!

$28 3D printed teleoperator device. And of course it's open source! The design features clean cable routing, same resting position as the SO-ARM101 and optional rubber bands that improve teleoperation experience (great idea). Used with MuJoCo simulator in the video below but can also be used with the follower arm. Awesome contribution from our community member! Check out the project here:

JUST FOUND OUT FABLE IS CAPABLE OF DESIGNING + 3D PRINTING WORKING FIDGET TOYS LOL In only a couple prompts I had Fable - Design fidget toy variations - Test the physics in MuJoCo & update based on feedback - Make it REAL with a 3D Printer (Bambu X1C) FULL BREAKDOWN HERE:

Hours of manual asset authoring => Down to 1–2 minutes with 1 prompt. SR Platform generates interactive, simulation-ready 3D assets for training robotics, complete with articulated objects and physics. Native support for MuJoCo and NVIDIA Isaac Sim. Coming in July!

Build a humanoid robot yourself! 🪚 OpenArm is an open-source humanoid robot.  It comes with full CAD, control code, firmware, and simulation tools, everything needed to build, modify, and operate it. The arms are designed to be compliant and backdrivable. Teleoperation is supported, with force feedback and real-time gravity compensation so operators can guide the arm naturally. Super important, on the simulation side, OpenArm works with platforms like MuJoCo and Isaac Sim, letting developers test policies in virtual environments before running on hardware.  Assemble it yourself from a kit or get it prebuilt, the goal is accessibility for research labs, small teams, and enthusiasts. The project is run by @enactic_ai in Tokyo, Japan, and aims to lower the barrier for experimenting with dexterous manipulation. Let's put robotics in mainstream! 🔥🔥 🔗 Find the link here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

I recently started dabbling in robotics, and a thought hit me. 🤖💭 Robots, AI agents, and business systems (ERP/WMS) all end up talking past each other in completely different data, don't they? Robots emit point clouds and sensor values on a millisecond scale 📡, AI agents want text with sources 📄, and business systems hold structured records on an hour-to-month scale 📊. Wiring these three together with bespoke integrations gets unrealistic fast — the number of pairs explodes as N×(N−1). 💥 So I ran an experiment: what if everyone dumps their data into the same search system and pulls out what they need by searching? Can search become a common protocol? I called it Multi-World Search (MWS). 🔍 Inside MuJoCo on a single MacBook 💻, I let a Gemini agent drive end to end across 7 business scenarios — a maintenance handoff 🔧, reconciling physical inventory against stale records 📦, and my personal favorite: three robots pinning down a defective lot without any direct communication 🐜. To avoid faking the "it worked!", I attached falsification tests that fail when you change the input. ✅ I'd be glad if it became a starting point for anyone just getting into robotics. Take a peek. 🙏✨ 📝 Blog: #Robotics# #AIAgents#

I think we'll see 5x the number of people become hardware and robotics founders over the next 18 months Why? Because you can rent every step, from design to manufacturing: DESIGN - Astra to drive Blender, FreeCAD, and KiCad the way a person would, so you get editable geometry instead of a dead render. Zoo dot dev's text to CAD API if you want it programmatic. - Or have Claude write build123d code, which is Python parametric CAD, and there's a Claude Code plugin that runs it and exports the STL for you. PROTOTYPE - Bambu A1 mini is $299, P1S around $399 on sale. Or skip owning one, JLC3DP prints and mails it for about $20. PCBWay does resin, SLS, and CNC if plastic won't cut it. ELECTRONICS - KiCad for the board, Astra can drive it. JLCPCB fabricates and assembles, often under $100 for a small run. ESP32 for wifi, Raspberry Pi if it needs a brain. ANYTHING THAT MOVES - Unitree sells a Go2 with a full SDK for about $2,500. - Hugging Face put out a $399 open-source biped. - LeRobot gives you the whole train in sim, deploy to real pipeline, and Physical Intelligence open-sourced π0 so you're fine-tuning instead of starting from zero. - Prototype the policy in MuJoCo or Isaac Lab first. MANUFACTURING - Alibaba RFQ for the first 100 units. Check 1688 to see what the factory actually charges domestically, then negotiate. Pietra or Sourcify if you want someone to handle it. FULFILLMENT AND SELLING - ShipBob or Amazon FBA. Shopify for the store, TikTok Shop for distribution, Kickstarter if you want the money before you build it. How to think about starting your own robotics or hardware company: 1. Pick a niche that's already buying weird gear. Cyclists, tabletop gamers, beekeepers, home baristas, dog people with mobility issues. These groups spend money on specific objects and complain in public about what doesn't exist. Or grab ideas off 2. Go read the complaints. Reddit, IG etc Search "I wish someone made," "does anyone make," and "modified my." That last one is the best signal, because someone already hacked the product together and you're just manufacturing what they built by hand. Also check Etsy!! If 3 sellers are doing a janky 3D printed version with 400 reviews each, the market is validated. 3. Make one. Describe it to Astra or Claude, get the CAD, print it in ugly gray PLA, use it, fix it. 4. Only go to Alibaba or similar once you've sold a few. Message 10 suppliers through RFQ, take the third cheapest, always pay the $50 for a sample before the real order. 5. Film everything from day 1. The first ugly print, the failed version, the box of 100 arriving. That's your entire marketing budget, and hardware is one of the few categories where people actually want to watch the thing get made. 6. Raise the price. Almost everyone here anchors on what the plastic cost. Your customer is comparing you to nothing, because the alternative is the product doesn't exist. Start at 5x COGS and go up. THIS GOAL OF THIS POST IS JUST HERE TO GET YOUR CREATIVE JUICES FLOWING. Of course, you can build robotics/hardware in a bunch of different ways. One thing I've learned is data couldn't be more important when you're building a hardware/robotics startups. These models learn from first person video of a human doing the task, and that footage doesn't exist for almost any job. So basically you pick one repetitive job people quit over, film someone doing it for 2 weeks, fine-tune π0 on that footage, use organic to sell the first few units and figure out scaling, 5 years ago you needed a factory, a supply chain, and a $1M just to find out if anyone wanted the thing. Now, anyone can become a hardware/robitics founder. And I suspect a lot of people will become one! Vibe manufacturers.