Robotics is a data problem. Today, we’re partnering with... ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.show more

America's leading robotics companies are powering the next wave... of reindustrialization. 🤖 Agility Robotics, Amazon robotics, Figure, and Skild AI are adopting the NVIDIA three-computer solution to deploy physical AI powered robotic fleets to bridge skills gaps, boost productivity, and improve safety across industries. #NVIDIAGTC Read the press release:show more

Robotics is obsessed with foundation models and humanoids. It’s... missing the most critical piece. One founder just raised $3M to build the “AWS for robots.” Fixing the silent bottleneck for most robotics startup: Data Infrastructure: 🧵show more

Physical AI is moving fast - from factory floors... to humanoid robots. 🤖 Join us at #NVIDIAGTC 2026 to see how NVIDIA’s open models, libraries, and growing ecosystem are accelerating robotics innovation. Check out our robotics sessions. ➡️show more

Stay tuned with NVIDIA Robotics folks, we’re expanding LeRobot’s... sim capabilities! I can train & teleop my SO-101 from real → sim, drop custom assets, and collect data from home (or HF office). finally making progress on the robotics dataset problem. Project launches soon 👀show more

Something big is happening in robotics - and it’s... hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.show more

See what the future holds for #humanoidrobots. 🤖 Join... us at #GTC25 to hear from some of the world's leading humanoid robotics companies like Agility Robotics, Boston Dynamics, Skild AI, and 1X. ➡️show more

SoftBank is reportedly in early talks to back a... massive $800M funding round for Munich-based Agile Robots, with a contribution of over $ 300M. The move signals a major escalation in Masayoshi Son's "brains and bodies" strategy to dominate physical AI infrastructure. Why this matters for the robotics industry: 🤖 The Flywheel: Agile Robots isn't just hardware. Founded by German Aerospace Center (DLR) alumni, they vertically integrate AI software with humanoids, warehouse automation, and robotic arms. 🧠 Frontier Ecosystems: Agile ONE was recently named a founding member of NVIDIA’s Cosmos Coalition and is deep in a research partnership with Google DeepMind to bring Gemini to the factory floor. 💰 The Capital Race: Global investment in robotics more than tripled in 2025. SoftBank is pairing this hardware play with its recent $1.4B investment in Skild AI and its $5.4B acquisition of ABB Robotics. While both companies have declined to comment on the early-stage talks, the deal highlights a furious shift toward deploying foundational AI in physical manufacturing and logistics.show more

All robots need intelligence 🧠 Announcing #NVIDIA Isaac sim... GRID integration. Develop, simulate, and deploy robot AI without complex infrastructure, across consumer and commercial robots—humanoids, quadrupeds arms. Blog: #CES #Robot #AI #CES2025 NVIDIA NVIDIA Roboticsshow more

Two spacetimes, one data value chain >India: Workers’ headcams... record garment sewing egocentric data flows to AI/robotics companies. >China: Operators teleoperate humanoid robots in warehouses, sorting packages …validating the system ,collecting real-world training data.show more

2026 is also going to be the year of... data collection for robotics.show more

MasterBOT is officially integrating with NVIDIA Isaac Lab NVIDIA’s... robotics simulation platform built for developing and training autonomous machines This brings $BOT one step closer to powering the future of decentralized Robotics AIshow more

Sensei Robotics (YC S24) helps robotics companies generate high-quality... robotics training data at scale. Their platform collects human demonstration data at a tenth of the cost and twice the speed of current approaches.show more

OVER x Silencio We’re partnering with Silencio | Voice... Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.show more

"Automate Earth, Enable Space" Over the last two weeks,... we've explored how robotics can transform the terra-space industry. We're incredibly grateful to Meagan Murphy Crawford , Jim Thomas , and Sean D. Graham for introducing us to key industry leaders and facilitating our tour of the US Space Force facility at Cape Canaveral. With a deeper understanding of the space sector’s needs, we see a growing opportunity for Earth-based robotics to play a pivotal role in supporting space advancements. The intersection of robotics and space is not just a possibility; it’s essential for the future of both industries. #RoboticsForSpace #TerraSpace #AutomateEarth #FutureOfSpace #InnovationInAction #Robotics NVIDIA Roboticsshow more

We’re filling the world with purpose-driven robots that benefit... humans and solve problems. Visit our brand new website to learn what makes us the future of robotics:show more

Today may be the ImageNet moment for robotics. RT-X:... the largest open-source robot dataset ever compiled, across 33 institutes, 22 robot hardware, 527 skills, and 1M episodes. Why is robotics lagging so far behind NLP, vision, and other AI domains? Data scarcity is the main culprit to blame, among other difficulties. Unlike text, images, and videos, you cannot download mass amounts of onboard robot control data from the internet. They simply don't exist in the wild. 11 yrs ago, ImageNet kicked off the deep learning revolution. 3-4 yrs ago, internet-scale data fueled the first GPTs and Diffusions that define this era of foundation models. I think 2023 is finally the year for robotics to scale up. Robot foundation models like VIMA ( my team's work at NVIDIA) and RT-1/2 ( Google DeepMind's effort) are extremely data hungry. While massively parallel simulations like NVIDIA IsaacGym & Omniverse can alleviate the problem to some extent, it's still not quite enough to bridge the gap to the messy, physical world. This new dataset is not just a technical contribution. I also see it as a commendable effort to overcome institutional bureaucracies and unite researchers from around the world to tackle a grand challenge together. Robotics will be the final holy grail that we capture in AI. We are not there yet, but ascending in the right gradient direction. RT-X website: Launch blog:show more

Open-Sourced Robotics Datasets Have Exploded This Year, Turning The... Field Into A More Scalable And Collaborative Ecosystem. We can expect major breakthroughs in the very near future; the data for robotics is exploding!show 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

🧵In the world of physical AI, we’re used to... seeing videos sped up to hide how slow robots actually are. Eka Robotics, Inc. is doing the exact opposite. They’re showing their robots at 1/25x speed because the movement is so fast and the force-sensitivity so precise, you’d miss the "superhuman" dexterity in real-time.show more

I believe solving robotics = 90% engineering + 10%... research vision. Project GR00T is NVIDIA's moonshot initiative to build physical AGI for humanoid robots. The GEAR Lab is assembling a crack team right now. Join us! Openings: - Sr. Research Engineer, Robotics Systems - Sr. RE, Reinforcement Learning - Sr. RE, Foundation Model Training Infrastructure - Sr. RE, Simulation - Sr. RE, ML Data Pipelines - Research Scientist - Research Intern (both part-time and summer full-time in 2025) For the Sr. positions, we strongly prefer candidates with many years of engineering experience at robotics/autonomous driving companies, or MLOps/large-scale AI teams at big techs. For interns, we welcome ace robotics hackers anywhere! Show me your past works. Job links in the thread. Apply today! Your resumes will be my best Christmas gifts:show more