Suet Lee

Orcid: 0000-0002-9196-5769

According to our database1, Suet Lee authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Just aware enough: Evaluating awareness across artificial systems.
CoRR, January, 2026

Multi-Agent Reinforcement Learning of a Fault-Robust Controller in an Intralogistics Robot Swarm.
Proceedings of the Swarm Intelligence - 15th International Conference, 2026

2025
A Framework for the Examination of Awareness in Artificial Systems.
Proceedings of the Biomimetic and Biohybrid Systems - 14th International Conference, 2025

Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport.
Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

Less is More: An Analysis of Minimal Information Sharing on the Performance of Robot Swarms.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2025

2024
A Multi-Level Corroborative Approach for Verification and Validation of Autonomous Robotic Swarms.
CoRR, 2024

The Forest: Towards Emergent Collaborative Art Through Human Swarming.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024


A Data-Driven Method to Identify Fault Mitigation Strategies in Robot Swarms.
Proceedings of the Swarm Intelligence - 14th International Conference, 2024

2023
Trustworthy Swarms.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Building Trustworthiness by Minimizing the Sim-to-Real Gap in Fault Detection for Robot Swarms.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023

2022
A Data-Driven Method for Metric Extraction to Detect Faults in Robot Swarms.
IEEE Robotics Autom. Lett., 2022


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