Just released five robotics simulation environments we have been... using to train reinforcement learning from vision and touch! Very easy to install. Powered by Google DeepMind MuJoCo, Gymnasium, and robosuite. GitHub link:show more

From simulation to reality 🤖 Robotics creator Skyentific built... a walking bipedal robot using a simulation-first approach to design, test, and iterating in virtual environments before deploying in the real world. Powered by the NVIDIA Isaac platform and NVIDIA Jetson for on-device AI and control. 📖 #NationalRoboticsWeekshow more

The laws of physics apply everywhere. ⚛️ Co-developed by... NVIDIA, Google DeepMind and Disney Research, Walt Disney Imagineering, the new Newton Beta, managed by the The Linux Foundation, now also runs with Isaac Lab and with MuJoCo Warp, which delivers warp speed for robot learning. Learn how to train a quadruped and simulate multiphysics in our tech blog. 🔗 #CoRL2025show more

What you’re seeing isn’t science fiction, it’s the future... of robotics being trained in real time MasterBOT’s simulation engine accelerates AI learning without hardware, powered by community and data Welcome to the new era of Robotics x web3 $BOTshow more

Generalist robots need multimodal learning—fusing vision, touch, and body... motion to handle unstructured worlds. 🦾 NVIDIA Isaac Lab is a GPU-accelerated, open-source simulation framework for robot learning that unifies physics, rendering, sensing, and parallel computing to train robot policies at scale. Learn more 🔗 #NVIDIAResearchshow more

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical... Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.show more

RL X-mas came early. 🎄 For too long, building... powerful AI agents with Reinforcement Learning has been blocked by GPU scarcity and complex infrastructure. That ends today. Introducing Serverless RL from wandb, powered by CoreWeave! We're making RL accessible to all.show more

Holy moly, another big one by Google DeepMind! "Our... SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world" Google DeepMind just unveiled SIMA 2 - an AI agent that doesn’t just follow instructions but thinks and reasons with you. The first version, SIMA 1, learned to perform over 600 basic actions in 3D environments. SIMA 2 takes a leap forward: it understands goals, holds conversations, and learns from experience. This marks a shift from “Do this” to “Let’s figure out how to achieve this together.” A thread with examples and how it works🧵:show more

Qualia has been selected for the Google DeepMind Robotics... Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at [email protected] More soonshow more

Yeah! Teleoperation on low-cost robot arm from Tau Robotics... working natively at 200Hz with and a very simple code. We are working a video tutorial to make it easy for anyone to reproduce our setup (in simulation or with a real robot). Stay tuned 😋show more

I spend a lot of time finding out what... VLMs still can't do pretty excited to help change that we launched Roboflow Labs at Roboflow training data, evals and environments for real-world tasks. vision, multimodal reasoning, robotics and coding. link:show more

Today, we're introducing idler – a frontier data research... lab. We've raised a $9M seed round, led by Alpin Yukseloglu and frankie from Paradigm, with participation from Y Combinator, Long Journey, and angels including Manish Chandra, cat, DC, Janine Leger, Lynett Capital, Feross, and nur. This funding helps us build the evals, benchmarks, and reinforcement learning environments that the world's leading frontier labs use to train and measure their models.show more

Haven't been to a conference in a while, really... excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)show more

teleoperator kicking himself over not programming Asimov's Laws of... Robotics... Worth considering if we should base today's reality on the science fiction musings from the past. Testing with humanoid robots is a very interesting new challenge. Historically robots have been confined to keep out zones with rigid walls and laser barriers, lock-out/tag-out, etc. This is the easy way to ensure people don't get hurt by very capable machines. But the more we integrate humanoid robotics into collaborative roles with humans the more we need to remove those barriers by nature of the work.show more

Announcing our commercial partnership with Booster Robotics Booster builds... humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.show more

Announcing "look at your damn data" for Reinforcement Learning!... You now get the full power of W&B Weave traces in the workspace. For any wandb run that calls an LLM, just "pip install weave" and "import weave" in your code. We also have out-of-the-box integrations for verifiers from , ART from OpenPipe, and verl from Bytedance Seed Team. Use those libraries with wandb/weave installed and everything just works.show more

What if we could teach an AI to master... the strategic game of 2048 through pure reinforcement learning? I did exactly that with "Agent 2048" - fine-tuning Qwen 7B model using GRPO to develop spatial reasoning and merge strategies with zero prior gameplay SFTdata! Thanks to Hugging Face and Unsloth AI for their easy to use implementation kalomaze and will brown you might like this :)show more

Building robots that can effectively operate alongside human workers... is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉show more

Did you know #IndustrialAI and #Robotics Days are coming... to #GTCParis at #VivaTech? 🗼✨ Check out some of our top sessions: ◦ Powered by AI: The Operating System for Future Factories Siemens ◦ AI-Powered Railways: Digitalizing Train Manufacturing to Smart Operations Hitachi Rail (ENG) ◦ AI Safety: From Autonomous Vehicles to Broader #PhysicalAI Wayve 🔗show more

🚨 We have won the toss and choose to... bat! Here’s the playing XI! Powered by: Hakeem easy finance! Good luck boys, let’s win it 🙌 #PINDIZvPAK #HBLPSL11show more