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INFOENG SEMINAR SERIES Colloquium Series

Dynamic Image Based Visual Servo Control: Applications to Aerial Robotic Vehicles.

Assoc. Prof. Robert Mahony (Department of Engineering, Australian National University. )


DATE: 2005-11-11
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU



ABSTRACT:
In this talk I present some recent developments in image based visual servo control and its extension to fully dynamic systems. The application of interest in this work is that of stabilization of an aerial robotic vehicle, capable of quasi-stationary flight, with respect to an observed target using vision and inertial measurements only. This problem is a fundamental capability that must be developed before such vehicle can be developed for commercial applications. The talk aims to provide a perspective on the wider issues involved in applying image based visual control to flying vehicles as well as present a case study demonstrating how it is possible to overcome these problems.



BIO:
Robert Mahony obtained a science degree majoring in applied mathematics and geology from the Australian National University (ANU) in 1989. After working for a year as a geophysicist processing marine seismic data he returned to study at ANU and obtained a Ph.D. in systems engineering in 1994. Between 1994 and 1997 he worked as a Research Fellow in the Cooperative Research Centre for Robust and Adaptive Systems based in the Research School of Information Sciences and Engineering, ANU, Australia. From 1997 to 1999 he held a post as a post-doctoral fellow in the CNRS laboratory for Heuristics Diagnostics and complex systems (Heudiasyc), Compiegne University of Technology, FRANCE. Between 1999 and 2001 he held a Logan Fellowship in the Department of Engineering and Computer Science at Monash University, Melbourne, Australia. Since July 2001 he lecturered in mechatronics at the Department of Engineering, ANU, Canberra, Australia. His research interests are in non-linear control theory with applications in mechanical systems and motion systems, and mathematical systems theory and geometric optimisation techniques with applications in linear algebra and digital signal processing.



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