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Data and Simulation Infrastructure for Physical AI

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Logistics is where dexterous hand manipulation gets tested for real. Packages shift under the hand. Soft parcels deform during grasping. Contact changes with every manipulation. That is why warehouse sorting needs to be evaluated in simulation before real-world deployment. Lightwheel builds evaluation infrastructure to expose failures, measure performance, and close the loop from testing to deployment for industrial teams. #PhysicalAI #Robotics #Simulation #Evaluation #DexterousManipulation #LogisticsAutomation

Logistics is where dexterous hand manipulation gets tested for real. Packages shift under the hand. Soft parcels deform during grasping. Contact changes with every manipulation. That is why warehouse sorting needs to be evaluated in simulation before real-world deployment. Lightwheel builds evaluation infrastructure to expose failures, measure performance, and close the loop from testing to deployment for industrial teams. #PhysicalAI #Robotics #Simulation #Evaluation #DexterousManipulation #LogisticsAutomation

13,231 次观看

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The largest fully annotated open egocentric human dataset. Today we're open-sourcing EgoSuite-Open100K with Hugging Face : 100,000 hours of egocentric human data, free for anyone to use. Physical AI has a scaling law of its own now, and its input is human data. That part is settled. What the field still needs is a shared foundation to build on. 15,000+ tasks. 15,000+ real scenes, from factory floors to retail backrooms. Hand pose, body pose and subtask-level semantics, with wrist camera coverage on part of the set. Licensed for commercial training, not research-only. We build the data infrastructure for Physical AI. Open100K is the first public layer of it. The first 10,000 hours are live now, with the rest rolling out in stages.

The largest fully annotated open egocentric human dataset. Today we're open-sourcing EgoSuite-Open100K with Hugging Face : 100,000 hours of egocentric human data, free for anyone to use. Physical AI has a scaling law of its own now, and its input is human data. That part is settled. What the field still needs is a shared foundation to build on. 15,000+ tasks. 15,000+ real scenes, from factory floors to retail backrooms. Hand pose, body pose and subtask-level semantics, with wrist camera coverage on part of the set. Licensed for commercial training, not research-only. We build the data infrastructure for Physical AI. Open100K is the first public layer of it. The first 10,000 hours are live now, with the rest rolling out in stages.

73,314 次观看 • 19 天前

Most egocentric data at scale is private. We think that's worth changing. With Hugging Face, we've released the first 10,000 hours of EgoSuite-Open100K — an open egocentric human dataset for Physical AI. #Robotics

Most egocentric data at scale is private. We think that's worth changing. With Hugging Face, we've released the first 10,000 hours of EgoSuite-Open100K — an open egocentric human dataset for Physical AI. #Robotics

11,530 次观看 • 14 天前

Introducing SimReadyGen. Agentic simulation generation for Physical AI. From a text prompt to physically accurate SimReady assets at scale. Robot training demands physically accurate environments at a scale traditional asset creation can't match. SimReadyGen closes that gap. Every generated asset carries measured physics, not estimates. Behind it is SimReady Foundry, our measured-physics pipeline: we measure how real objects behave — contact, friction, dynamics — and turn those measurements into ground-truth simulation parameters. Built on OpenUSD and integrated with NVIDIA Robotics Omniverse Libraries, SimReadyGen moves directly into Isaac Sim and Isaac Lab workflows. Try it today: Read the announcement: #PhysicalAI #Robotics #Simulation #OpenUSD

Introducing SimReadyGen. Agentic simulation generation for Physical AI. From a text prompt to physically accurate SimReady assets at scale. Robot training demands physically accurate environments at a scale traditional asset creation can't match. SimReadyGen closes that gap. Every generated asset carries measured physics, not estimates. Behind it is SimReady Foundry, our measured-physics pipeline: we measure how real objects behave — contact, friction, dynamics — and turn those measurements into ground-truth simulation parameters. Built on OpenUSD and integrated with NVIDIA Robotics Omniverse Libraries, SimReadyGen moves directly into Isaac Sim and Isaac Lab workflows. Try it today: Read the announcement: #PhysicalAI #Robotics #Simulation #OpenUSD

12,221 次观看 • 1 个月前

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