Mr Benedict Oakes
MPhys

Postdoctoral Research Associate
Electrical Engineering and Electronics

Part of
School of Engineering
Faculty of Science and Engineering

Contact

Benedict.Oakes@liverpool.ac.uk

Research outputs

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Conference Paper

Preprint

2025

An Astrodynamics Plugin for Stone Soup

Oakes, B., Thompson, A., Vladimirov, L., García-Fernández, Á. F., Sherman, C., & Barr, J. (2025). An Astrodynamics Plugin for Stone Soup. In 2025 28th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion65864.2025.11124098

DOI: 10.23919/fusion65864.2025.11124098
: Conference Paper

2024

Deep Reinforcement Learning Applications to Space Situational Awareness Scenarios

Oakes, B., Ralph, J. F., & Barr, J. (2024). Deep Reinforcement Learning Applications to Space Situational Awareness Scenarios. In Advanced Maui Optical and Space Surveillance Technologies. Retrieved from https://amostech.com/TechnicalPapers/2024/Poster/Oakes.pdf

: Conference Paper

2023

Stone Soup: No Longer Just an Appetiser

Hiscocks, S., Barr, J., Perree, N., Wright, J., Pritchett, H., Rosoman, O., . . . Oakes, B. (2023). Stone Soup: No Longer Just an Appetiser. In 2023 26th International Conference on Information Fusion, FUSION 2023. doi:10.23919/FUSION52260.2023.10224185

DOI: 10.23919/FUSION52260.2023.10224185
: Conference Paper

2022

Double Deep Q Networks for Sensor Management in Space Situational Awareness

Oakes, B., Richards, D., Barr, J., & Ralph, J. (2022). Double Deep Q Networks for Sensor Management in Space Situational Awareness. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/

: Conference Paper

Double Deep Q Networks for Sensor Management in Space Situational Awareness

: Preprint