Sanctuary AI
@TheSanctuaryAI • 10,144 subscribers
Our mission is to deliver production-ready Physical AI to industry today.
Shorts
Videos
Robots Doing Stuff #61 | Bimanual Nut Pick and Threading This is a real customer task: one step in a longer multi-part sequence we’re training in our labs. Threading requires precise alignment, force control, and fine manipulation. These are foundational capabilities for industrial dexterity applications that are currently inaccessible with traditional automation. We teleoperate these tasks to collect the data that trains our Physical AI. Next stop: autonomous. Visit to learn more about our Physical AI-enabled automation solutions. #Dexterity #DexterousHand #RobotHand #Robotics #RobotsDoingStuff #SanctuaryAI
Sanctuary AI38,370 Aufrufe • vor 2 Monaten
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 about our Physical AI-enabled automation solutions. #PhysicalAI #Robotics #Automation #AI #Manufacturing #Welding
Sanctuary AI32,886 Aufrufe • vor 2 Monaten
Introducing: Phoenix™ Gen 7 Major improvements, all delivered in less than a year. Our next generation of general-purpose technology marks an inflection point in task automation velocity. “With Generation 7, we can capture increasing quantities of higher quality, higher fidelity human behavioral data, which in turn will expedite the development of foundational AI models and customer deployments,” says @realgeordierose, CEO and Co-founder at Sanctuary AI. Learn more: #EmbodiedAI #AI #PhoenixGen7 #SanctuaryAI
Sanctuary AI187,384 Aufrufe • vor 2 Jahren
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 AI30,139 Aufrufe • vor 3 Monaten
Touch: A Game-Changer in Dexterity for Robots You can’t be responsive to the world if you can’t feel it. That’s true for people—and it's just as true for robots. We’re zeroed in on a practical, yet innovative, approach to creating general purpose robots designed to perform physical work. And that means hands, powered not just by vision, but by touch. Vision alone falls short. There are many instances where our vision is obstructed while performing work tasks–like grabbing items out of a bin–you lose line of sight. You need tactile intelligence—texture, pressure, contact—with real-time feedback to move faster, smarter, and with confidence. Watch a full explainer video on Sanctuary AI’s latest touch sensors on our blog: #Robotics #AI #HumanoidRobots #Dexterity #TactileSensing #SanctuaryAI
Sanctuary AI53,293 Aufrufe • vor 1 Jahr
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