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34. The Stanford Autonomous Helicopter

This video was recorded at AAAI 2009: AI Video Competition. Stanford's Autonomous Helicopter project pushes the limits of autonomous flight control by teaching a computer to fly a competition-class remote controlled (RC) helicopter through a range of aerobatic stunts. Our apprenticeship learning approach learns to fly the helicopter by observing human demonstrations and is capable of a wide variety of expert maneuvers. In many cases, it can even exceed the performance of the human expert from which it learned. http://heli.stanford.edu.

Keywords:: videolectures, ocwc, oec

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Science and Technology / Computer Science

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Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Authors:: Pieter Abbeel, Department of Electrical Engineering and Computer Sciences, UC Berkeley
Adam Coates, Department of Computer Science, Stanford University
Andrew Ng, Computer Science Department, Stanford University
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: Unknown
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States