Max Robotics — Global Service Robot Directory + US Certification

About

Pei-Ju Lee is a pioneering researcher at the intersection of human-robot interaction and multi-robot systems, with a primary focus on Urban Search and Rescue (USAR) operations. Her work addresses the critical challenge of enabling effective human control over large robot teams in high-stakes environments. Lee’s most significant contribution is her cognitive analysis of attention allocation in multi-robot control, where she developed methods to decode operators’ hidden mental states from behavioral data, a study that has garnered 33 citations. She also introduced the innovative “image queue” asynchronous display system, which allows operators to efficiently search through vast data streams from autonomous robot teams—a concept that has earned 26 citations and transformed how rescuers process visual information. Lee’s research on team-of-teams performance, analyzing how human team organization interacts with automation in controlling robot squads, has laid foundational insights for designing collaborative human-robot systems. Her work on inconsistency detection and data fusion in USAR tasks addresses the critical problem of conflicting sensor reports, ensuring more reliable decision-making. Through these contributions, Lee has advanced the practical deployment of large robot teams in dangerous environments, reducing risks to human rescuers while improving operational efficiency.