Research output per year
Research output per year
Personal profile
Research interests
My research focuses on safety for swarm robotics, considering fault detection on multiple scales of the system (local, neighbour, swarm scale). I am also largely interested in complex systems across domains, distributed computation, and artificial intelligence.
Keywords
- Swarm robotics
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Collaborations and top research areas from the last five years
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Research output
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Applying the “SOTEC” framework of sociotechnical risk analysis to the development of an autonomous robot swarm for a public cloakroom
Winter, P., Downer, J., Wilson, J., Abeywickrama, D. B., Lee, S., Hauert, S. & Windsor, S., 25 Apr 2025, In: Risk Analysis. 45, 4, p. 878-895 18 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access1 Citation (Scopus) -
Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport
Lee, S. & Hauert, S., 17 Apr 2025, Applications of Evolutionary Computation: 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I. Springer, Cham, Vol. 1. p. 305-322 18 p. (Lecture Notes in Computer Science; vol. 15612).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile3 Downloads (Pure) -
A Data-Driven Method to Identify Fault Mitigation Strategies in Robot Swarms
Lee, S. & Hauert, S., May 2024, (Accepted/In press).Research output: Contribution to conference › Conference Paper › peer-review
Datasets
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Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation (Models, Datasets and Results)
Abeywickrama, D. B. (Creator), Lee, S. (Creator), Bennett, C. (Creator), Abu-Aisheh, R. (Creator), Didiot-Cook, T. H. (Creator), Jones, S. (Creator), Hauert, S. (Creator), Eder, K. (Creator) & Windsor, S. (Data Manager), University of Bristol, 27 Jun 2024
DOI: 10.5523/bris.16ckwq1v44odw29sbsvca8yyhs, http://data.bris.ac.uk/data/dataset/16ckwq1v44odw29sbsvca8yyhs
Dataset