正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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: 🧵

Ilir Aliu

46,904 subscribers

37,170 次观看 • 4 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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.

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.

Skild AI

253,262 次观看 • 2 个月前

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

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

Paddy Cosgrave

50,516 次观看 • 8 个月前

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. 👇 🧵

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. 👇 🧵

Ilir Aliu

44,733 次观看 • 8 个月前

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

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

Yu Xiang

50,151 次观看 • 4 个月前

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.

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.

Miyu Horiuchi

90,718 次观看 • 4 个月前

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.

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.

Humanoids daily

49,235 次观看 • 8 个月前

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

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

Tuo Liu

21,229 次观看 • 5 个月前

🤖 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.

🤖 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.

👩‍💻 Paige Bailey

23,581 次观看 • 2 个月前

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. 🧵]

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. 🧵]

Ilir Aliu

153,085 次观看 • 6 个月前

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.

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.

PrismaX

11,379 次观看 • 12 天前

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:

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:

Jim Fan

103,177 次观看 • 1 年前

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)

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)

Roba Labs

23,621 次观看 • 1 个月前

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:

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:

Ilir Aliu

184,045 次观看 • 7 个月前

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 👾

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 👾

Synternet

1,701,754 次观看 • 2 年前

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.

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.

CTO ROBOTICS Media

13,193 次观看 • 21 天前

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 Musk

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 Musk

Mario Nawfal

28,837 次观看 • 5 个月前

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!

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!

Chubby♨️

14,321 次观看 • 5 个月前

Building production-grade AI agents and applications you can rely on takes frontier intelligence and trusted infrastructure. AWS and OpenAI are bringing them together, so you can build with the most capable AI models and agents available.

Building production-grade AI agents and applications you can rely on takes frontier intelligence and trusted infrastructure. AWS and OpenAI are bringing them together, so you can build with the most capable AI models and agents available.

Amazon Web Services

20,929,855 次观看 • 1 个月前

"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 Robotics

"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 Robotics

Richtech Robotics

22,303 次观看 • 10 个月前

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 Robotics

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 Robotics

General Robotics

30,203 次观看 • 1 年前