Speakers

Robert Mahony

Robert Mahony is a Professor in the School of Engineering at the Australian National University. He received his BSc in 1989 (applied mathematics and geology) and his PhD in 1995 (systems engineering) both from the Australian National University. He is a fellow of the IEEE and was president of the Australian Robotics Association from 2008-2011. He was Director of the Research School of Engineering at the Australian National University 2014-2016. His research interests are in nonlinear systems theory with applications in robotics and computer vision. He is known for his work in aerial robotics, equivariant observer design, matrix subspace optimisation and image based visual servo control.

Tarek Hamel

Tarek Hamel is Professor at the University Côte d'Azur since 2003. He received his Ph.D. in Robotics from the University of Technology of Compiègne (UTC), France 1996. After two years as a research assistant at the UTC, he joined the Centre d'Etudes de Mécanique d'Ile de France in 1997 as Associate Professor. His research interests include nonlinear control theory, estimation, and vision-based control with applications to Unmanned Robotic Systems. He is an IEEE Fellow and a senior member of the Institut Universitaire de France. He served as Associate Editor for IEEE Transactions on Robotics, IEEE Transaction on Control System Technology, and for Control Engineering Practice.

Pieter van Goor

Pieter van Goor is a postdoctoral research fellow with the Robotics and Mechatronics group of the University of Twente. He is a grant recipient of the Marie Skłodowska-Curie postdoctoral fellowship for the MEW project. His research focuses on the development of equivariant systems theory, as well as its applications to problems in robotics and control. He completed his Bachelor of Engineering (Research \& Development) (Honours) and Bachelor of Science at ANU in 2018, majoring in Mechatronics and Mathematics, respectively. He completed his Ph.D. thesis in February 2022, which studied equivariant observer design and its application to problems in visual-spatial awareness, under the supervision of Robert Mahony at the ANU. Between 2022 and 2023, he worked as a postdoctoral researcher with the Systems Theory and Robotics (STR) group in the School of Engineering at the ANU

Ravi Banavar

Ravi Banavar received his BTech in Mechanical Engineering from IIT Madras (1986) and his Masters (Mechanical, 1988) and PhD (Aero space, 1992) degrees from Clemson University and the University of Texas at Austin, respectively. He had a brief teaching stint at UCLA in 1991–1992, soon after which he joined the Systems and Control Engineering group at IIT Bombay in early 1993. During his tenure as the Convener of the group, from 2009 onwards, the strength of the group grew from five to nine members, with academic strengths in nonlinear control, switched systems, optimization, geometric mechanics, forma- tion and cooperative control, robotics, and adaptive control. He has spent a few sabbatical breaks during the years at UCLA (Los Angeles), IISc (Bangalore), and LSS (Supelec, France.) His research interests are broadly in the field of geometric mechanics and nonlinear and optimal control, with applications to electromechanical and aerospace engineering prob- lems. He is an Associate Editor of the Elsevier journal, Systems and Control Letters, on the Editorial Advisory Board of the Taylor and Francis publication, The Inter- national Journal of Control, and a Technical Associate Editor of the IEEE Control Systems Society magazine.

Audrey Giremus

Audrey Giremus received the engineering and Ph.D. degrees in signal processing from the École Nationale Supérieure de l’Aéronautique et de l’Espace, Toulouse, France, in 2002 and 2005, respectively. She is currently an Associate Professor with the University of Bordeaux, France. Since 2006, she has been with the IMS Laboratory, Signal and Image Research Group. Her research interests include statistical signal processing and optimal filtering techniques applied to navigation, tracking, mobile communications, and biomedical engineering.

Alessandro Fornasier

Alessandro Fornasier obtained his Bachelor's degree in electronic engineering from University of Udine, Italy in 2017. In 2019 he obtained my Master's double degree with honor in electronic engineering, and Information and communication engineering, from a joint study at the University of Udine, Italy and the University of Klagenfurt, Austria. He started his Ph.D. at the University of Klagenfurt in 2020. Under the guidance of professors, Stephan Weiss from the University of Klagenfurt and Robert Mahony from the Australian National University, his research focuses on non-linear and geometric system theory, multi-sensor fusion, and vision-based localization.

Soulaimane Berkane

Soulaimane Berkane (PhD, P.Eng, SMIEEE) received his Engineering and M.Sc. degrees in Automatic Control from Ecole Nationale Polytechnique (Algeria) in 2013. He received his PhD degree in Electrical Engineering (Robotics & Control) from the University of Western Ontario (Canada) in 2018. In 2017, he received the award of Excellence in Graduate Research at the University of Western Ontario. He held postdoctoral positions at the University of Western Ontario (Canada) and at KTH Royal Institute of Technology (Sweden) between 2018 and 2019. He is currently an assistant professor at the Université du Québec en Outaouais and an adjunct professor at Lakehead University.

Rita Gunha

Rita Cunha (Member, IEEE) received the Licenciatura degree in information systems and computer engineering and the Ph.D. degree in electrical and computer engineering from the Instituto Superior Técnico (IST), Universidade de Lisboa, Lisbon, Portugal, in 1998 and 2007, respectively.,She is currently an Associate Professor with the Department of Electrical and Computer Engineering, IST, and a Researcher with the Institute for Systems and Robotics, LARSyS, Lisbon. Her research interests include nonlinear dynamical systems and control, multiagent systems, cooperative control, optimal control and model predictive control applied to multivehicle trajectory generation, and vision-based control with application to autonomous aerial vehicles.