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LightOrigins

@LightOrigins_ • 1,287 subscribers

Light Origins brings foundation-model intelligence into the physical world so machines can perceive, reason, and act.

Shorts

Every robot should see, understand, and explore the physical world. Introducing LightNav-0: one generalist navigation brain by Light Origins. Any robot. Any task. Anywhere. Open source. Out of the box. Coming soon.

Every robot should see, understand, and explore the physical world. Introducing LightNav-0: one generalist navigation brain by Light Origins. Any robot. Any task. Anywhere. Open source. Out of the box. Coming soon.

58,281 次观看

Robots won’t scale if every failure brings them to a halt. We train a generalist Transformer policy across a wide range of hardware impairments, enabling it to adapt to the robot’s changing capabilities at runtime through whole-body in-context learning. Meet Light REACT.

Robots won’t scale if every failure brings them to a halt. We train a generalist Transformer policy across a wide range of hardware impairments, enabling it to adapt to the robot’s changing capabilities at runtime through whole-body in-context learning. Meet Light REACT.

12,372 次观看

Videos

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Autonomous. By Light Origins. Stay tuned.

Autonomous. By Light Origins. Stay tuned.

47,867 次观看 • 15 天前

Our humanoid robot vaults, climbs, and crosses terrain it’s never seen before—deciding which move to use in real time, completely on its own 🤖 Real → sim → real. 👇

Our humanoid robot vaults, climbs, and crosses terrain it’s never seen before—deciding which move to use in real time, completely on its own 🤖 Real → sim → real. 👇

31,905 次观看 • 1 个月前

Introducing LightNav-0, our first general-purpose navigation brain. Open-sourced starting today. Trained entirely in simulation, so it scales. See scalable real2sim2real transfer across robots, tasks, and scenes.

Introducing LightNav-0, our first general-purpose navigation brain. Open-sourced starting today. Trained entirely in simulation, so it scales. See scalable real2sim2real transfer across robots, tasks, and scenes.

14,590 次观看 • 23 天前

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