A simulation-based control interface layer for a high-fidelity anthropomorphic training simulator Nelson, Kyle J., Black, Timothy, Creighton, Doug and Nahavandi, Saeid 2010, A simulation-based control interface layer for a high-fidelity anthropomorphic training simulator, in I/ITSEC 2010 : Proceedings of the Interservice/Industry Training, Simulation & Education Conference, [National Training Systems Association (NTSA)], [Arlington, Va.]. Attached Files Name Description MIMEType Size Downloads Title A simulation-based control interface layer for a high-fidelity anthropomorphic training simulator Author(s) Nelson, Kyle J. orcid.org/0000-0003-1956-5493 Black, Timothy Creighton, Doug Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Interservice/Industry Training, Simulation & Education Conference (2010 : Orlando, Florida) Conference location Orlando, Fla. Conference dates 29 Nov. - 2 Dec. 2010 Title of proceedings I/ITSEC 2010 : Proceedings of the Interservice/Industry Training, Simulation & Education Conference Editor(s) [unknown] Publication date 2010 Conference series Interservice/Industry Training, Simulation and Education Conference Publisher [National Training Systems Association (NTSA)] Place of publication [Arlington, Va.] Summary Deakin University’s futuristic Universal Motion simulator will overcome the limitations of current motion simulator platforms by employing an anthropomorphic robot arm to provide the motion fidelity necessary to exploit the potential of modern simulation environments. Full motion simulators frequently utilize Stewart platforms to mimic the movement of vehicles during simulation. However, due to the limited motion range and dexterity of such systems, and their inability to convey realistic accelerations, they are unable to represent accurate motion characteristics. The Universal Motion Simulation aims to close the gap between the limitations of the current motion technology and real world, by introducing a flexible, modular, high-fidelity motion system that can be used for a variety of immersive training applications. The modular nature of the design allows interchangeable and configurable simulation pods to be attached to the end effectors. Language eng Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed HERDC collection year 2010 Persistent URL http://hdl.handle.net/10536/DRO/DU:30034534 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 09 May 2011, 20:10:04 EST Fri, 03 Jun 2011, 12:51:55 EST Fri, 03 Jun 2011, 12:59:17 EST Fri, 03 Jun 2011, 13:48:51 EST Wed, 08 Jun 2011, 12:12:22 EST Fri, 24 Jun 2011, 14:43:09 EST Mon, 27 Jun 2011, 12:57:11 EST Mon, 27 Jun 2011, 12:58:02 EST Mon, 27 Jun 2011, 12:58:42 EST Mon, 27 Jun 2011, 12:59:34 EST Mon, 27 Jun 2011, 13:00:37 EST Mon, 27 Jun 2011, 13:02:15 EST Mon, 27 Jun 2011, 13:03:40 EST Fri, 16 Mar 2012, 18:54:57 EST Tue, 22 May 2012, 13:50:19 EST Mon, 13 Jan 2014, 10:17:04 EST Wed, 02 Jul 2014, 15:22:03 EST Wed, 27 Aug 2014, 22:38:10 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 841 Abstract Views, 12 File Downloads  -  Detailed Statistics Created: Mon, 09 May 2011, 20:09:58 EST by Sandra Dunoon

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