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the micro1 robotics lab: real world data for intelligent models that co-exist in the physical world. we’re in-the-wild across 75 countries in 6,000+ unique environments collecting data. diverse movements, objects, and settings. the future of AI is as human as you can imagine. join us to start training robots...

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Ali Ansari

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207,453 görüntüleme • 3 ay önce •via X (Twitter)

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Cortex AI (CortexAI) produces the world's most diverse egocentric and robot dataset, captured in real workplace environments. Leading research labs use Cortex AI to collect data and deploy robotics foundation models in real-world settings.
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Cortex AI (CortexAI) produces the world's most diverse egocentric and robot dataset, captured in real workplace environments. Leading research labs use Cortex AI to collect data and deploy robotics foundation models in real-world settings.

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MIT CSAIL

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Chelsea Finn (Chelsea Finn) on building general-purpose robotics, and bringing intelligence into the physical world. At AI Startup School in San Francisco. 00:00 - General Purpose Robots 00:11 - Challenges in Robotics Applications 00:57 - Physical Intelligence: A New Approach 01:47 - Learning from Language Models 02:08 - Data Sources for Training Robots 03:32 - Training with Real-World Data 04:39 - Initial Successes and Challenges 09:10 - Breakthrough in Robot Training 11:03 - Improving Performance 15:43 - Expanding Capabilities 17:34 - Robots in Unseen Environments 25:54 - Handling Open-Ended Prompts 29:36 - Evaluating Robot Performance 30:03 - Future Directions and Challenges 31:27 - Audience Q&A

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1:39

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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5:35

As part of our walkthrough series, today we are covering labor in the physical AI era—why real robots and real jobs hinge on grounded data, human judgment, and a pipeline from capture to delivery, not simulation alone. If you’re following Harbor or the future of work in AI, this one connects the dots in a few minutes.

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Anthropic’s CEO says AI-driven robotics could become a multi-trillion-dollar industry as models learn to generalize in the real world. Robotics is where AI starts to touch the $50T+ physical economy across manufacturing, logistics, agriculture, construction and healthcare.

Shay Boloor

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🤖 INTERESTING: RLWRLD is collecting real-world dexterity data using MANUS gloves to train physical AI systems on human hand and finger movements.

Cointelegraph

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The biggest challenge in robotics isn’t building better robots—it’s getting better data. Anastasis Germanidis, co-founder and CEO of Runway, on how world models could break the cycle.
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The biggest challenge in robotics isn’t building better robots—it’s getting better data. Anastasis Germanidis, co-founder and CEO of Runway, on how world models could break the cycle.

TIME

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