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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.].

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Title A simulation-based control interface layer for a high-fidelity anthropomorphic training simulator
Author(s) Nelson, Kyle J.
Black, Timothy
Creighton, Doug
Nahavandi, Saeid
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
Collection: Centre for Intelligent Systems Research
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Created: Mon, 09 May 2011, 20:09:58 EST by Sandra Dunoon