Jack Naylor

PhD Candidate with the Australian Centre for Robotics. Working on neural-radiance based scene representations for robotic perception and mapping.

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202B, Rose St Building J04

University of Sydney

Darlington, NSW, 2006

I am a PhD Candidate with the Australian Centre for Robotics at the University of Sydney developing neural scene representations for enhanced robotic perception in complex, unstructured environments. I hold a combined Bachelor of Engineering (Mechanical) Hons I/Bachelor of Science (Advanced) degree from the University of Sydney, with majors in Space Engineering and Physics and a minor in Mathematics.

My research interests lie across neural representations, computational imaging, remote sensing, embedded AI, with a particular focus to the space domain.

Previously, I was a Computer Vision Research Student with Nearmap developing targeted small object extraction and reconstruction approaches for thin linear features in aerial imagery. This was the subject for my Honours thesis.

News

May 5, 2024 I have been accepted to speak at the International Astronautical Congress (IAC) in Milan this October on a plenary session entitled: “Intelligent Space: Big Data, Advanced Algorithms, and Autonomous Robotics in Space”!
Apr 4, 2024 Honoured to be presented with two 2023 Dean’s Awards for Outstanding Tutoring and Enhancing Student Life for the Faculty of Engineering this week!
Jun 10, 2023 Fantastic meeting everyone at ICRA 2023! Looking forward to visits to the University of Siegen, DLR, EPFL and more over the coming weeks!
Jan 22, 2023 NOCaL has been accepted to ICRA 2023! Looking forward to meeting all in London at the end of May!
Mar 15, 2022 Began my PhD with the Australian Centre for Field Robotics, you can read more about my project here.

Selected Publications

  1. Appearance-aware Trajectory Optimisation for Autonomous On-Orbit Inspection
    Raghav Mishra, Jack Naylor, Nicholas H Barbara, and Donald G Dansereau
    International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) 2024
  2. Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera
    Cedric Le Gentil, Jack Naylor, Nuwan Munasinghe, Jasprabhjit Mehami, Benny Dai, Mikhail Asavkin, Donald G Dansereau, and Teresa Vidal-Calleja
    arXiv preprint arXiv:2409.15581 2024
  3. Adaptive Keyframe Selection for Online Iterative NeRF Construction
    Joshua Wilkinson, Jack Naylor, Ryan Griffiths, and Donald G Dansereau
    In RoboNerF: 1st Workshop On Neural Fields In Robotics at ICRA 2024 2024
  4. Towards Event-Based Satellite Docking: A Photometrically Accurate Low-Earth Orbit Hardware Simulation
    Nuwan Munasinghe, Cedric Le Gentil, Jack Naylor, Mikhail Asavkin, Donald G Dansereau, and Teresa Vidal-Calleja
    In HERMES2 Workshop at ICRA2024 2024
  5. NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
    Ryan Griffiths, Jack Naylor, and Donald G. Dansereau
    In 2023 IEEE International Conference on Robotics and Automation (ICRA) 2023