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A probabilistic approach for measuring the fault tolerance of robotic manipulators Abdi, Hamid, Maciejewski, Anthony A. and Nahavandi, Saeid 2013, A probabilistic approach for measuring the fault tolerance of robotic manipulators, in ICRA 2013 : Anthropomatics : technologies for humans : Proceedings of the IEEE Robotics and Automation 2013 International Conference, IEEE, Piscataway, N. J., pp. 1995-2001. Attached Files Name Description MIMEType Size Downloads Title A probabilistic approach for measuring the fault tolerance of robotic manipulators Author(s) Abdi, Hamid Maciejewski, Anthony A. Nahavandi, Saeid Conference name IEEE Robotics and Automation. International Conference (2013 : Karlesruhe, Germany) Conference location Karlsruhe, Germany Conference dates 6 - 10 May. 2013 Title of proceedings ICRA 2013 : Anthropomatics : technologies for humans : Proceedings of the IEEE Robotics and Automation 2013 International Conference Editor(s) Hanebeck, Uwe Kulic, Dana Publication date 2013 Conference series IEEE Robotics and Automation International Conference Start page 1995 End page 2001 Total pages 7 Publisher IEEE Place of publication Piscataway, N. J. Keyword(s) fault tolerance robotic manipulators probabilistic analysis cumulative density functions (CDF) Notes Article number 6630843 ISBN 1467356417 9781467356411 Language eng Field of Research 090602 Control Systems, Robotics and Automation Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2013, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30062603 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 28 Apr 2014, 09:53:16 EST Tue, 29 Apr 2014, 08:37:29 EST Fri, 09 May 2014, 10:12:26 EST Fri, 09 May 2014, 14:36:26 EST Tue, 13 May 2014, 13:30:00 EST Wed, 14 May 2014, 15:33:05 EST Tue, 15 Jul 2014, 14:50:55 EST Filtered Full Access Statistics: 16 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Mon, 28 Apr 2014, 09:53:16 EST

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