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Thursday, October 1 • 5:25pm - 5:55pm
Distributed Reinforcement Learning for Robotic Assembly - Rodger Luo, Autodesk Research

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Robotic systems for automated assembly have been widely used in manufacturing, where the environment can be carefully and precisely controlled, but they are still in infancy in architectural construction. A main reason is that current robotic systems are not adaptive to the diversity of the real world, especially in unstructured settings. RL-based robotic systems are a promising direction given their adaptability to uncertainties.

This talk will introduce a group of projects from Autodesk Research to improve RL-based robotic systems for assembly tasks. We focus on robotic assembly tasks that involve contact forces, because such tasks are widespread in industrial applications and yet challenging for robots to do. All the algorithm developments are built on top of Ray’s framework.

Speakers
avatar for Rodger Luo

Rodger Luo

Principal AI Research Scientist, Autodesk Research
Rodger (Jieliang) Luo is a Principal AI Research Scientist at the Autodesk AI Lab in San Francisco. He received his Ph.D. from UCSB in 2020, where he explored the intersection of machine learning, robotics, and creativity. His current research focus is understanding how to learn complex... Read More →



Thursday October 1, 2020 5:25pm - 5:55pm PDT
Virtual 3
  Reinforcement Learning
  • Slides Included Yes