Referenten (18.-19.09.2012)

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Tom Gedeon

Developing a Situated Virtual Reality Simulation for Telerobotic Control and Training

We present the development of a situated virtual reality simulation for control and training in a telerobotic mining setting. The research scenario is derived from a real-world rock breaking task in mining teleoperation. With the intention of better situational awareness and user control model for this application, we simulate the setting in a 3D Virtual Reality (VR) environment. Therefore, users are able to obtain more information (e.g. depth information) and feedback from the remote environment than only working with real video streams from the remote camera(s). In addition, the concept of natural interaction has been applied in building more intuitive user control interfaces than conventional manual modes. Both eye gaze and head movements have been used to develop natural and interactive viewpoint control models for users to complete the teleoperation task. By using such a 3D simulation, training in the complex teletobotic control process can be effectively carried out with the capability of changing visual and control conditions easily. A user study has also been conducted as the preliminary evaluation of the simulation. Encouraging feedback has been provided by the experimental participants regarding task learning, which suggests the effectiveness of using the simulation.

Kurzer Lebenslauf

Tom Gedeon is Chair Professor of Computer Science at the Australian National University, and President of Computing Research and Education Association of Australasia. He is formerly Deputy Dean and Head of Computer Science at ANU. He has worked previously at Murdoch University and the University of New South Wales. His BSc and PhD are from the University of Western Australia. He is a former president of the Asia-Pacific Neural Network Assembly, has been nominated for VC s awards for postgraduate supervision at three Universities, and serves on a number of journal advisory boards as member, associate editor or editor.

Tom s research focuses on the development of automated systems for information extraction, and for the synthesis of the extracted information into humanly useful information resources (hierarchical knowledge), mostly using fuzzy systems and neural networks, as well as by cognitive modeling based on biologically plausible information flow constraints. Application areas of the research include mining, security and medical applications, particularly in the construction of intelligent interfaces which understand human eye gaze as well as facial expression and other human behavioural cues.


Research School of Computer Science
Australian National University
Acton ACT 0200 Australia