AI Simulations Train Robots

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training robots

ScienceDaily

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Using photos or videos, these AI systems can conjure simulations that train robots to function in physical spaces

Summary

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Two new studies introduce AI systems that use either video or photos to create simulations that can train robots to function in the real world.

System called RialTo creates a "digital twin" simulation of the space, where the user can enter how different things function (opening a drawer, for instance). A robot can then virtually repeat motions in the simulation with slight variations to learn to do them effectively.

RialTo is particularly useful if you've already pre-trained a robot, Gupta said.

Gupta said he wants to incorporate small amounts of real-world training data with the systems.

Gupta: "Hopefully, just a tiny amount of real world data can fix the failures" Additional co-authors include MIT 's Marcel Torne , Anthony Simeonov , Tao Chen .

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