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2017 GTC San Jose

S7621 - Deep Reinforcement Learning for Robotics Using DIANNE

Session Speakers
Session Description

We'll show how a mobile robot arm can learn to locate and retrieve objects, such as soda cans, using deep reinforcement learning and the DIANNE framework. The robot is equipped with a Jetson TX1 embedded GPU to efficiently process sensory input generated by laser scanners, placed both in the environment and on the robot itself. Deep reinforcement learning allows an intelligent agent to solve complex planning problems with high-dimensional inputs in an efficient and generalisable way. While very promising for the field of robotics, integration of and learning in a physical system is not trivial, and additional simulation is often required to speed up the learning process.


Additional Session Information
Intermediate
Talk
Deep Learning and AI Intelligent Machines and IoT
Cloud Services IT Services Manufacturing Software
25 minutes
Session Schedule