Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation - Microsoft Research
Efficient Robot Skill Learning: Grounded Simulation Learning an…
Sep 25, 2019
Microsoft
Scientists have developed an imitation learning-based method that enabled a robot to learn 1000 distinct manipulation tasks from less than 24 hours of human demonstrations. Learn more in #ScienceRobotics: https://scim.ag/4qVsMm3 | Science
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Researchers from the University of Tokyo taught a robot how to peel bananas. The method used to achieve this is called "deep imitation learning." It's meant to teach machines how to become more human in the way they carry out tasks, with the long term goal of giving robots the skills they need to utilize a more delicate touch. | Mashable
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