Tony A. Wood is a research fellow in the Department of Electrical and Electronic Engineering at the the University of Melbourne, Australia.
He received a B.Sc. degree in Information Technology and Electrical Engineering in 2010 and an M.Sc. degree in Robotics, Systems and Control in 2013, both from the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland. In 2012 he worked as an industrial research intern at the ABB Research Center Switzerland. In 2018 he completed a Ph.D. at the Automatic Control Laboratory of ETH Zurich. His research interests include automatic control, optimisation, system identification, task allocation, path planning, delay compensation, as well as formal specifications for uncertain systems with applications to airborne wind energy, building evacuation, robotics, and biology.
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Modeling, Identification, Estimation and Adaptation for the Control of Power-Generating Ki..
Displaying the 25 most recent scholarly works by Tony A. Wood.
Collision Avoidance Based on Robust Lexicographic Task Assignment
Tony A Wood, Mitchell Khoo, Elad Michael, Chris Manzie, Iman Shames
Journal article | 2020 | IEEE Robotics and Automation Letters
Traditional task assignment approaches for multi-agent motion control do not take the possibility of collisions into account. This..
Distributed Algorithm for Solving the Bottleneck Assignment Problem
M Khoo, TA Wood, C Manzie, I Shames
Conference Proceedings | 2020 | 2019 IEEE 58th Conference on Decision and Control (CDC)
Assignment problems are found in multiagent systems, where there is a need to allocate multiple tasks to agents. The bottleneck as..
Exploiting structure of chance constrained programs via submodularity
Damian Frick, Pier Giuseppe Sessa, Tony A Wood, Maryam Kamgarpour
Journal article | 2019 | Automatica
We introduce a novel approach to reduce the computational effort of solving convex chance constrained programs through the scenari..
Uncertainty intervals for robust bottleneck assignment
E Michael, TA Wood, C Manzie, I Shames
Conference Proceedings | 2019 | 2019 18th European Control Conference (ECC)
We examine the robustness of bottleneck assignment problems to perturbations in the assignment weights. We derive two algorithms t..
Research Fellow In Optimisation And Control
Electrical And Electronic Engineering
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