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Experiments in learning helicopter control from a pilot

Buskey, Gregg , Roberts, Jonathan, & Wyeth, Gordon (2003) Experiments in learning helicopter control from a pilot. In Proceedings International Conference on Field and Service Robotics (FSR 2003), Lake Yamanaka, Japan, pp. 77-82.

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    Abstract

    This paper details the development of a machine learning system which uses the helicopter state and the actions of an instructing pilot to synthesise helicopter control modules online. Aggressive destabilisation/restabilisation sequences are used for training, such that a wide state space envelope is covered during training. The performance of heading, roll, pitch, height and lateral velocity control learning is presented using our Xcell 60 experimental platform. The helicopter is demonstrated to be stabilised on all axes using the “learning from a pilot” technique. To our knowledge, this is the first time a “learning from a pilot” technique has been successfully applied to all axes.

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    ID Code: 33864
    Item Type: Conference Paper
    Additional Information: Also available in Springer Tracts in Advanced Robotics, STAR, Field Service Robotics, 2006, Volume 24/2006, 267-276
    Keywords: helicopter, pilot
    DOI: 10.1007/10991459_26
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
    Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
    Copyright Owner: Copyright 2003 [please consult author]
    Deposited On: 06 Oct 2010 10:02
    Last Modified: 25 May 2012 00:30

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