PeopleofSuperintelligence

Researcher

Robert Mahony

Also known as Robert E. Mahony

Robert Mahony is a roboticist whose work in state estimation and computer vision supports autonomous aerial robots; his research interests include machine learning. He earned a science degree in applied mathematics and geology from ANU in 1989, completed a systems engineering PhD there in 1994, and held research posts in Australia and France before returning to ANU in 2001. His work includes nonlinear attitude filters for inertial sensors and a 2012 guide to multirotor modeling, estimation, and control; his 2023 work processes event and frame camera data for robotic vision. In 2025 he was elected a Fellow of the Australian Academy of Science and the Australian Academy of Technological Sciences and Engineering. As of October 2026, he is a professor at ANU and leads its Systems Theory and Robotics Group.

Timeline

  1. 1989–1994

    A degree in applied mathematics

    He earns an ANU science degree in applied mathematics and geology in 1989, works for a year as a marine seismic geophysicist, and completes a PhD in systems engineering in 1994.

  2. 1994–2001

    Research posts in France and Australia

    From 1994 to 1997, he works as a Research Fellow at ANU; from 1997 to 1999, he works as a postdoctoral fellow at the CNRS Heudiasyc laboratory in France; from 1999 to 2001, he holds a Logan Fellowship at Monash University.

  3. Since 2001

    Returning to ANU Engineering

    In July 2001, he returns to ANU's Department of Engineering, with research spanning robotics, computer vision, digital signal processing, and machine learning.

  4. 2008

    Nonlinear attitude filters

    With Tarek Hamel and Jean-Michel Pflimlin, he publishes nonlinear complementary filters for estimating attitude from low-cost inertial measurement units in 2008. This work leads to the Mahony filter, an enabling technology for commercial drones.

  5. 2012

    A multirotor tutorial

    With Vijay Kumar and Peter Corke, he publishes a tutorial on modeling, estimation, and control for multirotor aerial vehicles, including quadrotors, in 2012.

  6. 2023

    Processing event-camera data

    In 2023, he and Ziwei Wang, Yonhon Ng, and Cedric Scheerlinck present an asynchronous linear filter architecture that fuses event and frame camera data for HDR video reconstruction and spatial convolution. It updates a state as each event or frame arrives and supplies it to later vision modules in real-time robotic systems.

  7. 2025

    Two academy fellowships

    In 2025, he is elected a Fellow of the Australian Academy of Science and the Australian Academy of Technological Sciences and Engineering.

  8. As of October 2026

    Professor and group leader

    As of October 2026, he is a professor in ANU's School of Engineering and leads its Systems Theory and Robotics Group, which researches nonlinear systems and control for robotics and computer vision.

Sources and credits

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  1. Robert Mahony Home Page users.cecs.anu.edu.au. Checked 15 October 2026.
  2. Nonlinear complementary filters on the special orthogonal group researchportalplus.anu.edu.au. Checked 15 October 2026.
  3. Robert Mahony | Australian Academy of Technological Sciences and Engineering atse.org.au. Checked 15 October 2026.
  4. Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor researchportalplus.anu.edu.au. Checked 15 October 2026.
  5. An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras arxiv.org. Checked 15 October 2026.
  6. Robert Mahony science.org.au. Checked 15 October 2026.
  7. Robert Mahony | ANU School of Engineering eng.anu.edu.au. Checked 15 October 2026.