Adam Coates
PhD student: Stanford University in Computer Science.
Advisor: Andrew Ng.
Research Project: Robotic perception for STAIR.

Previous Research: Stanford Autonomous Helicopter.

E-mail: acoates (at) stanford (dot) edu
Office: Gates 112
"A child of five would understand this.  Send someone to fetch a child of five." -- Groucho Marx

Robotic Perception:
Scalable Learning for Object Detection with GPU Hardware, Adam Coates, Paul Baumstarck, Quoc Le, and Andrew Y. Ng. In IROS 2009.   (PS, PDF)

Helicopters:
Apprenticeship learning for helicopter control, Adam Coates, Pieter Abbeel, and Andrew Y. Ng. In Communications of the ACM; July 2009.   (ACM)
Learning for Control from Muliple Demonstrations, Adam Coates, Pieter Abbeel, and Andrew Y. Ng. In ICML 25, 2008.   (PDF  | PS)
Talk slides, Supplementary Material (Videos). Best Paper Award: Best Application
Autonomous Autorotation of an RC Helicopter, Pieter Abbeel, Adam Coates, and Andrew Y. Ng. In International Symposium on Experimental Robotics, 2008.   (PDF)
Supplementary Material (Videos).
Space-indexed Dynamic Programming: Learning to Follow Trajectories, Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, and Charles DuHadway. In ICML 25, 2008.   (PDF  | PS)
An Application of Reinforcement Learning to Aerobatic Helicopter Flight, Pieter Abbeel, Adam Coates, Morgan Quigley, and Andrew Y. Ng. In NIPS 19, 2007.   (PDF  | PS)
Discriminative training of Kalman filters, Pieter Abbeel, Adam Coates, Mike Montemerlo, Andrew Y. Ng and Sebastian Thrun. In Proceedings of Robotics: Science and Systems, 2005.   (PDF  | PS)
Autonomous Helicopter Tracking and Localization Using a Self-Calibrating Camera Array, Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. In Proceedings of the Fifth International Conference on Field Service Robotics, 2005.   (PDF  | PS)
Inverted autonomous helicopter flight via reinforcement learning, Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger and Eric Liang. In International Symposium on Experimental Robotics, 2004.   (PDF  | PS)

"In theory there is no difference between theory and practice. In practice there is." -- Yogi Berra

Science Olympiad slides available here.
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