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

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

ROBA Compute is our GPU execution layer for robotics.... A distributed infrastructure layer for simulation, training, inference, and autonomous workflows — built for our stack first, then opened to external builders. GPU rental is already a category. The missing layer is robotics-native infrastructure: templates, allocation, benchmarking, and persistent execution for embodied AI. That’s the opportunity. ROBA Compute is designed to become the infrastructure layer where robotics workloads actually run.show more

Just visited Unitree’s HQ in China, possibly the most... important robotics startup in the world. My mind is blown 🤖🤯show more

Tesla. DeepMind. Figure. Skild just raised $300M. All racing... to build one giant AI brain for every robot. It’s a trillion-dollar mistake. The future of robotics won’t be built like GPT... It’ll be built like Lego. 👇 🧵show more

Temporal and spatial alignment between glove and camera data.... It is not an easy task, but it’s coming together. Human data for robots. #Roboticsshow more

I spent a month in Shenzhen visiting factories and... robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.show more

Deep Robotics has unveiled the DR02, an all-weather humanoid... built for industrial work. With an IP66 rating, –20°C to 55°C temperature range, and modular design, it’s made to operate where most humanoids can’t — from rain-soaked sites to hot workshops.show more

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

🤖 Google DeepMind's robotics partnerships are some of the... most exciting projects I've seen in my career! Everything from fine-tuning Gemma to run locally for robotics control, to using the Gemini APIs for real-time interactions, bounding box detection, and robotics simulations.show more

The uncomfortable truth in robotics: Better tech does not... win. Execution does. A small French team raised $20M and deployed in 100+ factories with ZERO hardware or manufacturing background. Here is how they did it 👇 [If you build robotics, save this thread. 🧵]show more

Everyone is selling robotics data. Most of it isn't... what you actually need. The right kind of data depends entirely on what you're training. And that's the question almost no one asks before the check gets cut.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

Robotics has a dirty secret. The biggest bottleneck isn't... hardware. It isn't compute. It's data. And right now, only a handful of corporations can afford to generate it... $ROBA No Code Studio is about to change that. 🧵(1/8)show more

Mondo is the most adorable companion robot. It’s safe... around kids, can track and follow a person, and capture high-resolution action videos. Mondo is also doing frontier research in humanoid Video-Action models built on a world model backbone: I have no doubt we’ll be hearing this name a lot in consumer robotics. Thanks Mondo Robotics Shuo Yang for the tour.show more

America and China build robots. Europe builds committees. Tesla... just showed Optimus in pilot production. Humanoids being assembled like cars. Meanwhile, in Europe, we’re still arguing over regulation, ethics boards, and frameworks that nobody in the real world reads. This isn’t about copying the US. It’s about realizing that if we keep optimizing for safety over progress, we’ll end up safe... but irrelevant. I work in robotics companies every day. We have world-class talent here... But talent without permission to execute is just potential wasted. —- Weekly robotics and AI insights. Subscribe free:show more

China is scaling humanoid robotics at an insane speed.... Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

Syntropy becomes Synternet 🍾 Our rebrand to Synternet is... the natural evolution to becoming the primary gateway for real-time, on-chain data for everyone, everywhere. Synternet isn’t just a new name, it’s the foundation for the next gen of interoperable data infrastructure 👾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

GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN... REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Muskshow 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