Max Robotics — Global Service Robot Directory + US Certification

About

Suet Lee is an emerging researcher specializing in swarm robotics, fault detection, and the safety and trustworthiness of autonomous systems. Her work sits at a compelling intersection of robotics engineering, data-driven methods, and sociotechnical risk analysis, addressing one of the most pressing challenges in deploying robot swarms beyond the laboratory and into real-world environments. Lee's most influential contribution, "A Data-Driven Method for Metric Extraction to Detect Faults in Robot Swarms" (2022, 19 citations), pioneered systematic approaches to identifying when swarms malfunction — a critical step toward building reliable autonomous systems. Her subsequent work on fault mitigation strategies extends this foundation, exploring how swarms can dynamically recover from failures. Her 2023 paper "Trustworthy Swarms" (14 citations) broadens her scope to encompass the human and societal dimensions of swarm deployment, recognizing that technical robustness alone is insufficient for public adoption. Notably, Lee also engages with sociotechnical frameworks, applying holistic risk analysis to real-world scenarios such as autonomous cloakroom systems. Through projects like AERoS and EMERGE, she contributes to assuring emergent swarm behaviours — a notoriously difficult research challenge. With growing citation impact and an expanding research portfolio, Lee is establishing herself as a significant voice in safe and trustworthy autonomous robotics.