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training robotsScienceDaily
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79% Informative
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 .
VR Score
89
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95
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64
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