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Robots Doing Stuff is back. Ready? Robots Doing Stuff #60 | Welding Policy Repetitive, quick, and precise. Automating this manufacturing welding task with Physical AI required the successful execution of all of the above in order to achieve a consistent weld quality at production-level speed. Visit to learn more...

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Sanctuary AI

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32,662 просмотров • 1 месяц назад •via X (Twitter)

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So many robotics companies trying to solve everything at once… Last year I talked to Nima Gard, Director of AI at Path Robotics about this… Doing one thing really really well. They went after welding. Today they’re introducing Rove™, which embodies Obsidian™ (Path's physical AI model for manufacturing) on a legged mobile platform. The result is the intelligence to autonomously weld with the mobility to bring the worker to the work. Path Robotics (Columbus, Ohio) has raised more than $300 million in venture capital to build autonomous AI-powered welding cells. I think the tech is pretty impressive and video really cool. Congrats guys! Credit: Path Robotics
1:07

So many robotics companies trying to solve everything at once… Last year I talked to Nima Gard, Director of AI at Path Robotics about this… Doing one thing really really well. They went after welding. Today they’re introducing Rove™, which embodies Obsidian™ (Path's physical AI model for manufacturing) on a legged mobile platform. The result is the intelligence to autonomously weld with the mobility to bring the worker to the work. Path Robotics (Columbus, Ohio) has raised more than $300 million in venture capital to build autonomous AI-powered welding cells. I think the tech is pretty impressive and video really cool. Congrats guys! Credit: Path Robotics

Ilir Aliu

23,488 просмотров • 3 месяцев назад

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.
0:51

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.

NVIDIA

128,164 просмотров • 5 дней назад

“Blue-collar jobs are safe from AI.” Not for long. This welding robot climbs vertical steel walls like Spider-Man. While everyone is watching AI replace coders and office work… industrial robots are quietly entering the physical world too. Welding. Grinding. Inspection. Rust removal. The scary part? Software automation was the easy phase. Now machines are learning to work in the real world.
1:34

“Blue-collar jobs are safe from AI.” Not for long. This welding robot climbs vertical steel walls like Spider-Man. While everyone is watching AI replace coders and office work… industrial robots are quietly entering the physical world too. Welding. Grinding. Inspection. Rust removal. The scary part? Software automation was the easy phase. Now machines are learning to work in the real world.

Manisha Mishra

221,237 просмотров • 2 месяцев назад

🚀 🔥 AgiBot deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, and reconfigure flexibly, solving rigid automation pain points in precision manufacturing. A giant leap of intelligent automation for precision manufacturing! #AgiBot #ReinforcementLearning #RealWorldRL #Robotics #AI #IndustrialRobotics
1:43

🚀 🔥 AgiBot deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, and reconfigure flexibly, solving rigid automation pain points in precision manufacturing. A giant leap of intelligent automation for precision manufacturing! #AgiBot #ReinforcementLearning #RealWorldRL #Robotics #AI #IndustrialRobotics

AGIBOT

131,860 просмотров • 9 месяцев назад

Robot dogs are now welders! 👨🏼‍🏭 Path Robotics launches a mobile welding robot on quadruped platform, called Rove. This quadruped robotic welding system is paired with their Obsidian physical AI model. Obsidian already delivers autonomous, adaptive welding inside fixed cells. Rove brings intelligent welding to the part rather than moving the part to a fixed workstation. Shipbuilding, heavy construction, and large-scale fabrication share a constraint, massive assemblies and workpieces that cannot be moved or fixtured inside welding cells. These conditions have limited welding automation in environments that need it most, just as skilled welder shortages reach critical levels. Legged robots have long been considered too unstable for precision welding. Rove changes that. Obsidian provides the perception and adaptability needed to operate in high-variability environments. Saronic Technologies, a leader in autonomous maritime vessels, is one of the first early adopters, integrating Rove into its physical AI-powered shipbuilding operations in Franklin, Louisiana. 🇺🇸 Welding requires millimeter-level precision on a moving quadruped platform, considered impossible until AI-based perception and control made it feasible. 🔥 Andrew Lonsberry gotta be honest, but a welding robot dog wasn't on bingo card for 2026. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:44

Robot dogs are now welders! 👨🏼‍🏭 Path Robotics launches a mobile welding robot on quadruped platform, called Rove. This quadruped robotic welding system is paired with their Obsidian physical AI model. Obsidian already delivers autonomous, adaptive welding inside fixed cells. Rove brings intelligent welding to the part rather than moving the part to a fixed workstation. Shipbuilding, heavy construction, and large-scale fabrication share a constraint, massive assemblies and workpieces that cannot be moved or fixtured inside welding cells. These conditions have limited welding automation in environments that need it most, just as skilled welder shortages reach critical levels. Legged robots have long been considered too unstable for precision welding. Rove changes that. Obsidian provides the perception and adaptability needed to operate in high-variability environments. Saronic Technologies, a leader in autonomous maritime vessels, is one of the first early adopters, integrating Rove into its physical AI-powered shipbuilding operations in Franklin, Louisiana. 🇺🇸 Welding requires millimeter-level precision on a moving quadruped platform, considered impossible until AI-based perception and control made it feasible. 🔥 Andrew Lonsberry gotta be honest, but a welding robot dog wasn't on bingo card for 2026. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

10,227 просмотров • 3 месяцев назад

🤖 WILD: THIS HUMANOID ROBOT CAN WELD LIKE A HUMAN Persona AI's Gen 1 humanoid performed hot-work welding in a live factory, taking on one of the most dangerous jobs in manufacturing. Humanoid robots are getting closer to doing what only humans could do.
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🤖 WILD: THIS HUMANOID ROBOT CAN WELD LIKE A HUMAN Persona AI's Gen 1 humanoid performed hot-work welding in a live factory, taking on one of the most dangerous jobs in manufacturing. Humanoid robots are getting closer to doing what only humans could do.

Coin Bureau

60,750 просмотров • 25 дней назад

Welding robots. The original use case for industrial automation—first deployed in the 1960s at GM. 60 years later, they dominate automotive body shops. Hundreds of robots in perfect sync, laying thousands of spot welds per vehicle. But step outside high-volume production and they're rare. Most fab shops still weld by hand. Why? Every new part needs skilled programming. Path planning. Torch angle. Travel speed. Wire feed. Gas flow. All tuned for each weld on each component. The economics only work if you're making thousands of the same thing. High-volume? Solved. High-mix, low-volume? Traditional welding robots fail here... but watch this space a few start ups are starting to fill the gap.
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Welding robots. The original use case for industrial automation—first deployed in the 1960s at GM. 60 years later, they dominate automotive body shops. Hundreds of robots in perfect sync, laying thousands of spot welds per vehicle. But step outside high-volume production and they're rare. Most fab shops still weld by hand. Why? Every new part needs skilled programming. Path planning. Torch angle. Travel speed. Wire feed. Gas flow. All tuned for each weld on each component. The economics only work if you're making thousands of the same thing. High-volume? Solved. High-mix, low-volume? Traditional welding robots fail here... but watch this space a few start ups are starting to fill the gap.

Jack 🤖

78,283 просмотров • 8 месяцев назад

Humanoid robots are taking over the largest robotics and AI show in America. Grady Trimble got an inside look at the robot family stealing the show and how they are being used in the real world. "AI is enabling robots to do all kinds of work, stuff like this, and hospitals, in factories, in warehouses... It's not just entertainment," President of the the Association for Advancing Automation Jeff Burnstein says.
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Humanoid robots are taking over the largest robotics and AI show in America. Grady Trimble got an inside look at the robot family stealing the show and how they are being used in the real world. "AI is enabling robots to do all kinds of work, stuff like this, and hospitals, in factories, in warehouses... It's not just entertainment," President of the the Association for Advancing Automation Jeff Burnstein says.

FOX Business

15,022 просмотров • 1 месяц назад

FULL INTERVIEW: travis kalanick joins TBPN to discuss his new company Atoms, physical AI, Uber, and more: 01:18 - Why he's been building in stealth for 8 years 04:32 - Atoms and the future of physical AI 08:10 - Creating a culture of builders 12:05 - Lessons from Uber 24:30 - The vision for physical AI and robotics 31:15 - Why humans will be the main beneficiaries of AI 38:20 - Mining, autonomous robots, automation 47:05 - Why Travis moved to Texas
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FULL INTERVIEW: travis kalanick joins TBPN to discuss his new company Atoms, physical AI, Uber, and more: 01:18 - Why he's been building in stealth for 8 years 04:32 - Atoms and the future of physical AI 08:10 - Creating a culture of builders 12:05 - Lessons from Uber 24:30 - The vision for physical AI and robotics 31:15 - Why humans will be the main beneficiaries of AI 38:20 - Mining, autonomous robots, automation 47:05 - Why Travis moved to Texas

TBPN

626,519 просмотров • 4 месяцев назад

German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.
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German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.

CyberRobo

73,731 просмотров • 9 месяцев назад

This is what Production-Ready Physical AI looks like. Yesterday, we announced our expanded Physical AI strategy, backed by a demonstration of a complex industrial wire plugging task completed with a 99.5%+ success rate and a 2.54-second cycle time. Why is this significant? "Manipulating a flexible wire into a moving target on a live conveyor is exactly the kind of contact-rich dexterity problem that has kept tasks like this out of reach for traditional automation ... Solving it required models built around performance from day one with reliability, cycle time, and safety measured against real production benchmarks. That's the bar Physical AI has to clear to matter in enterprise environments, and it's the bar we've now cleared." — Olivia Norton, CTO at Sanctuary AI. Read more:
0:41

This is what Production-Ready Physical AI looks like. Yesterday, we announced our expanded Physical AI strategy, backed by a demonstration of a complex industrial wire plugging task completed with a 99.5%+ success rate and a 2.54-second cycle time. Why is this significant? "Manipulating a flexible wire into a moving target on a live conveyor is exactly the kind of contact-rich dexterity problem that has kept tasks like this out of reach for traditional automation ... Solving it required models built around performance from day one with reliability, cycle time, and safety measured against real production benchmarks. That's the bar Physical AI has to clear to matter in enterprise environments, and it's the bar we've now cleared." — Olivia Norton, CTO at Sanctuary AI. Read more:

Sanctuary AI

27,349 просмотров • 1 месяц назад

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.
5:50

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Shruti

51,545 просмотров • 4 месяцев назад

“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI
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“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

Niantic Spatial 🌎

18,656 просмотров • 3 месяцев назад

Physical AI hits production speed on automotive assembly! 👀 Sanctuary AI just achieved 99,5%+ success on a wire plugging task at a Tier 1 automotive supplier, 2.54 seconds per task, validated against live production benchmarks. The system matched the customer's actual production line throughput. The task sounds simple. But if you look closer, it's not. Inserting flexible wires into moving targets on a conveyor requires contact-rich dexterity, force sensing, real-time adaptation. Materials shift. Targets move. This has stayed out of reach for traditional automation. Instead of waiting for humanoid hardware to mature, Sanctuary AI is deploying Physical AI on existing commercial robotic platforms (Universal Robots in this case). So their solution is fully hardware-agnostic. Deploy today on what you already have. Scale to next-gen humanoids later. Olivia Norton (co-founder, CTO): "Physical AI adoption is gated by AI that meets both performance and cycle time requirements. That's what customers are seeking, and that's what we are delivering." Looks like manufacturing, logistics, and other labor-constrained industries don't need to wait. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:41

Physical AI hits production speed on automotive assembly! 👀 Sanctuary AI just achieved 99,5%+ success on a wire plugging task at a Tier 1 automotive supplier, 2.54 seconds per task, validated against live production benchmarks. The system matched the customer's actual production line throughput. The task sounds simple. But if you look closer, it's not. Inserting flexible wires into moving targets on a conveyor requires contact-rich dexterity, force sensing, real-time adaptation. Materials shift. Targets move. This has stayed out of reach for traditional automation. Instead of waiting for humanoid hardware to mature, Sanctuary AI is deploying Physical AI on existing commercial robotic platforms (Universal Robots in this case). So their solution is fully hardware-agnostic. Deploy today on what you already have. Scale to next-gen humanoids later. Olivia Norton (co-founder, CTO): "Physical AI adoption is gated by AI that meets both performance and cycle time requirements. That's what customers are seeking, and that's what we are delivering." Looks like manufacturing, logistics, and other labor-constrained industries don't need to wait. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

45,757 просмотров • 1 месяц назад

🚨 Breaking News: Solo Tech won at CES 2026. 🦾🏆 In a 10×10 booth, we showcased the highest density of working robots on the floor proving that the future of AI is physical, performant, and deployable today. Up close with real systems. No slides. No simulations. Just Physical AI in action. Alongside leaders shaping what’s next NVIDIA Robotics , Sharpa , and Boston Dynamics the message was clear: This is the ChatGPT moment for robotics. And it won’t happen behind screens. It will happen in Robotics Gyms spaces around the world where machines train, models adapt, and builders learn by doing. The era of AI that acts has begun. #BreakingNews #CES2026 #SoloTech #PhysicalAI #RoboticsGym #EdgeAI
2:09

🚨 Breaking News: Solo Tech won at CES 2026. 🦾🏆 In a 10×10 booth, we showcased the highest density of working robots on the floor proving that the future of AI is physical, performant, and deployable today. Up close with real systems. No slides. No simulations. Just Physical AI in action. Alongside leaders shaping what’s next NVIDIA Robotics , Sharpa , and Boston Dynamics the message was clear: This is the ChatGPT moment for robotics. And it won’t happen behind screens. It will happen in Robotics Gyms spaces around the world where machines train, models adapt, and builders learn by doing. The era of AI that acts has begun. #BreakingNews #CES2026 #SoloTech #PhysicalAI #RoboticsGym #EdgeAI

Dhruv Diddi

14,821 просмотров • 6 месяцев назад

AI isn’t just about robots it’s about unlocking endless possibilities! Are you ready to dive in to learn more? Mr. Graig Smith, the founder of Eye on AI, discusses this in the second episode of our podcast at #GainSummit. Arab News
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AI isn’t just about robots it’s about unlocking endless possibilities! Are you ready to dive in to learn more? Mr. Graig Smith, the founder of Eye on AI, discusses this in the second episode of our podcast at #GainSummit. Arab News

Global AI Summit

1,407,053 просмотров • 1 год назад

The next leap in robotics is here! According to Wang Xingxing, CEO of Unitree Robotics, humanoid AI robots are set to reach a groundbreaking level of development by the end of this year. Follow us KABClub to learn more about young entrepreneurs. #GDI #SDGs #Youth2030
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The next leap in robotics is here! According to Wang Xingxing, CEO of Unitree Robotics, humanoid AI robots are set to reach a groundbreaking level of development by the end of this year. Follow us KABClub to learn more about young entrepreneurs. #GDI #SDGs #Youth2030

KABClub

461,754 просмотров • 1 год назад

Ready to immerse yourself in physical AI at #NVIDIAGTC? 🤖 Join us onsite to explore the future of robotics, industrial AI, automotive innovation, and more through hands-on sessions and live demos. Look forward to: ✔️ Physical AI Days sessions ✔️ Industrial AI and robotics pavilion ✔️ Hands-on expert led labs ✔️ Physical AI meetup Don’t miss your chance to learn, connect, and see what’s next. 👉
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Ready to immerse yourself in physical AI at #NVIDIAGTC? 🤖 Join us onsite to explore the future of robotics, industrial AI, automotive innovation, and more through hands-on sessions and live demos. Look forward to: ✔️ Physical AI Days sessions ✔️ Industrial AI and robotics pavilion ✔️ Hands-on expert led labs ✔️ Physical AI meetup Don’t miss your chance to learn, connect, and see what’s next. 👉

NVIDIA Robotics

11,433 просмотров • 4 месяцев назад

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork
0:20

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork

Pascal Bornet

31,533 просмотров • 5 месяцев назад

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence
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In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

Zhang Heqing

11,384 просмотров • 1 год назад