Jack Naylor

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 radiance-based 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

Dec 12, 2024	Pleased to announce I have been awared a Fulbright Future Scholarship (funded by the Kinghorn Foundation) to work with Prof. Matt O’Toole and the Computational Imaging Group at Carnegie Mellon University’s Robotics Institute in August 2025.
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!

Selected Publications

Surf-NeRF: Surface Regularised Neural Radiance Fields

Jack Naylor, Viorela Ila, and Donald G. Dansereau

arXiv preprint arXiv:2411.18652 2024

arXiv Bib Code Website

@article{naylor2024surf,
  title = {{Surf-NeRF}: Surface Regularised Neural Radiance Fields},
  author = {Naylor, Jack and Ila, Viorela and Dansereau, Donald G.},
  journal = {arXiv preprint arXiv:2411.18652},
  year = {2024},
}

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

Bib PDF

@article{mishra2024apaware,
  author = {Mishra, Raghav and Naylor, Jack and Barbara, Nicholas H and Dansereau, Donald G},
  title = {Appearance-aware Trajectory Optimisation for Autonomous On-Orbit Inspection},
  journal = {International Symposium on
  Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS)},
  year = {2024},
}

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

2025 International Conference on Robotics and Automation (ICRA) 2025

arXiv Bib

@article{gentil2024mixing,
  title = {Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera},
  author = {Gentil, Cedric Le and Naylor, Jack and Munasinghe, Nuwan and Mehami, Jasprabhjit and Dai, Benny and Asavkin, Mikhail and Dansereau, Donald G and Vidal-Calleja, Teresa},
  journal = {2025 International Conference on Robotics and Automation (ICRA)},
  year = {2025},
  organization = {IEEE},
}

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

Bib PDF

@inproceedings{wilkinson2024adaptive,
  title = {Adaptive Keyframe Selection for Online Iterative NeRF Construction},
  author = {Wilkinson, Joshua and Naylor, Jack and Griffiths, Ryan and Dansereau, Donald G},
  booktitle = {RoboNerF: 1st Workshop On Neural Fields In Robotics at ICRA 2024},
  year = {2024},
}

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

Bib PDF

@inproceedings{munasinghe2024towards,
  title = {Towards Event-Based Satellite Docking: A Photometrically Accurate Low-Earth Orbit Hardware Simulation},
  author = {Munasinghe, Nuwan and Le Gentil, Cedric and Naylor, Jack and Asavkin, Mikhail and Dansereau, Donald G and Vidal-Calleja, Teresa},
  booktitle = {HERMES2 Workshop at ICRA2024},
  year = {2024},
}

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

arXiv Bib Code Website

@inproceedings{griffiths2022nocal,
  author = {Griffiths, Ryan and Naylor, Jack and Dansereau, Donald G.},
  title = {NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics},
  booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {4056--4062},
  year = {2023},
  organization = {IEEE},
}