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Gave a talk about the huge question of the 'robot data gap' in training robot foundation models.
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Aug 2025 — Sep 2025
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Are We Truly On The Verge Of The Humanoid Robot Revolution?
berkeley.edunewscautiousAug 28, 2025
UC Berkeley roboticist Ken Goldberg argues that a "100,000-year data gap" will prevent humanoid robots from gaining real-world skills like those claimed by tech leaders, debunking near-term timelines for surgical robots or in-home butlers.
“UC Berkeley roboticist who published two papers in Science Robotics explaining why robots are not gaining real-world skills as quickly as AI chatbots.”
RoboticsHumanoid RobotsAI Hype vs RealityMachine Learning Data Requirements
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How Can We Get Enough Data to Train a Robot GPT?
It Can Think SubstackanalysiscautiousSep 17, 2025
Training a robot foundation model equivalent to language model scale (2 trillion tokens) requires 70,000+ robot-years of data, but scaling fleets, simulation, and human video data combined could make this feasible with substantial investment.
“Gave a talk about the huge question of the 'robot data gap' in training robot foundation models.”
RoboticsFoundation ModelsAI ResearchGenerative AI