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Next Unicorns: Empowering robots to think for themselves via AI with Covariant’s Peter Chen | E1796
This Week in Startups
The Importance of Adaptability in AI for Robotics
The suction of vacuum has become a useful technology in warehouses, but different tasks require different robot hands. AI for robotics needs to be adaptable to different physical bodies and scenarios. This leads to the concept of a covariant brain, a foundation model for robots that can learn across multiple tasks and hardware. By collecting all the necessary data together, this model can solve the data problem and accelerate progress in robotics. This creates a proprietary advantage for companies like Amazon over competitors like Target and Walmart.
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