Anh-Dzung Doan

Australian Centre for Robotic Vision, University of Adelaide

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About

Anh-Dzung Doan is a robotics researcher advancing the frontier of autonomous systems for both extraterrestrial and terrestrial applications. His work centers on perception, autonomy, and visual place recognition, with a particular focus on enabling collaborative robots to operate without human intervention. Doan’s most notable contribution is his visionary work on "Autonomy and Perception for Space Mining" (2022, 7 citations), where he addresses the critical challenge of using collaborative robots to mine resources on the Moon—a task made essential by communication delays and the impossibility of a constant human workforce. This research lays the groundwork for future lunar base construction. In parallel, Doan has made significant strides in intelligent transportation with his "SPRINT" framework (2020, 4 citations), which enhances visual place recognition by exploiting the sequential nature of image data, allowing robots to localize themselves reliably under changing conditions. He has also tackled the fundamental problem of interest point repeatability (2021, 2 citations), developing learning-based methods to predict which visual features remain stable over time. Through these contributions, Doan is shaping the future of autonomous robotics in extreme environments.