Published on April 11, 2018 by

Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can teach a real robot how to pick up objects. Alex shows how the team used physics simulators and other ML techniques to reduce the amount of real world data required.

Closing the Simulation-to-Reality Gap for Deep Robotic Learning blog post → https://goo.gl/UDnqiu

TensorFlow Dev Summit 2018 All Sessions playlist → https://goo.gl/Lsaq1R
Subscribe to the TensorFlow channel → https://goo.gl/ht3WGe

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