Callum Rhodes

Callum Rhodes

Autonomy Engineer

Frazer-Nash Consultancy

Biography

Callum Rhodes is a currently a Lead Autonomy Engineer at Frazer-Nash Consultancy, where he works on developing core autonomy functions for multi-million pound projects. These systems have been demoed live to clients for a wide array applications onboard various configurations of UAV platforms. Prior to this, he was a post doctoral research fellow at the Dyson Robotics Lab, Imperial College London under the supervision of Professor Andrew Davison. His research interests were on distributed inference and leveraging learnt monocular priors for 3D scene understanding. He completed his PhD in field robotics at Loughborough University’s Center for Autonomous Systems, with a focus on remote gas distribution mapping using robotic platforms. He is passionate about creating real-time software solutions and seeing the process through to hardware deployment.

Interests
  • Computer Vision
  • Distributed Computation
  • Autonomous Vehicles
  • Environmental Monitoring
  • Applied robotics
Education
  • PhD in Field Robotics, 2022

    Loughborough University

  • MEng in Automotive Engineering, 2018

    Loughborough University

Skills

Technical
Python (OpenCV, Open3d, Pytorch, JAX)
MATLAB (Robotics system toolbox)
Simulink
ROS1/2
C++ (OpenCV, Torchlib, OpenMP)
CAD (NX/Autodesk Fusion)
Hobbies
Snowboarding
Football
Drumming
Motorcycling

Experience

 
 
 
 
 
Frazer-Nash Consultancy
Lead Autonomy Engineer
December 2024 – Present Bristol, UK
Lead autonomy engineer designing cutting edge state estimation algorithms for identifying and predicting target pose and motion. Designing non-linear optimisation based control algorithms for controlling platforms with various dynamic constraints.
 
 
 
 
 
Imperial College London
Research Fellow
April 2023 – December 2024 London, UK
Researching distributed and efficient computation methods for modern computer vision problems applied to robotics.
 
 
 
 
 
Frazer-Nash Consultancy
Control Engineer
October 2022 – July 2023 Bristol, UK
Developing control capabilities for assured autonomous systems.
 
 
 
 
 
Loughborough University
Research Associate
December 2019 – October 2022 Loughborough, UK
Lead researcher on a DSTL funded project investigating efficient source term estimation using unmanned aerial vehicles.

Projects

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PiStation 1
Raspberry Pi Playstation 1 emulation inside an original chassis.
PiStation 1
U-ARE-ME
Uncertainty aware rotation estimation in Manhattan environments.
U-ARE-ME
3D gas distribution mapping
Applying distributed inference techniques in order to acheive dense 3D mapping of sparse gas concentration measurements in real time.
3D gas distribution mapping
ELROB 2022
Heterogenous remote sensing for building real-time 3D radiation maps.
ELROB 2022
Auto-STE
Autonomous source term estimation using a UAV in cluttered, GPS denied environments.
Auto-STE
EnRicH 2021
Testing robotic response equipment in a real world full scale nuclear facility.
EnRicH 2021

Gallery

Recent Publications

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(2026). PixVOD: Pixel-Distributed Direct Visual Odometry and Depth Estimation. arXiv preprint arXiv:2606.03989.

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(2023). Autonomous search of an airborne release in urban environments using informed tree planning. Autonomous Robots.

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(2022). Scalable probabilistic gas distribution mapping using Gaussian belief propagation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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(2021). Dual control for exploitation and exploration (DCEE) in autonomous search. Automatica.

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(2020). Informative path planning for gas distribution mapping in cluttered environments. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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Contact

Feel free to contact me for any opportunities or any questions regarding my projects.