Robust and Explainable Mission Planning and Scheduling (REMPS)

Riccardi, Annalisa (Principal Investigator)
Cashmore, Michael (Co-investigator)

Project: Research - Studentship

Status	Finished
Effective start/end date	1/11/20 → 30/04/25

Funding

European Space Agency ESA: £80,357.00

3 Paper
1 Conference contribution book
1 Proceeding
1 Article

Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models
Powell, C. & Riccardi, A., 17 Apr 2025, (E-pub ahead of print) In: Journal of Intelligent Information Systems. 51 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Explaining AI decisions in autonomous satellite scheduling via computational argumentation
Powell, C. & Riccardi, A., 17 Sept 2024. 6 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
12 Downloads (Pure)
Question answering over knowledge graphs for explainable satellite scheduling
Powell, C. & Riccardi, A., 5 Oct 2023, p. 1-16.
Research output: Contribution to conference › Paper

Open Access
File
59 Downloads (Pure)

Data for: "Question Answering over Knowledge Graphs for Explainable Satellite Scheduling"
Powell, C. (Creator) & Riccardi, A. (Supervisor), University of Strathclyde, 20 Jan 2025
DOI: 10.15129/a1ec351d-70bc-4cde-9994-dddcfe9323d5, https://github.com/strath-ace/smart-xai/tree/main/Earth_Observation_Satellite_Case_Study/Knowledge_Graphs
Dataset

Best Interactive Presentation Award - IAC 2023
Powell, C. (Recipient), 5 Oct 2023
Prize: Prize (including medals and awards)