Max Robotics — Global Service Robot Directory + US Certification

About

Angelique Taylor is a pioneering researcher at the intersection of human-robot interaction, clinical teamwork, and robot perception, whose work addresses some of the most pressing challenges in both healthcare and robotics. Her research tackles the critical problem of preventable patient deaths—over 400,000 annually in U.S. hospitals—by investigating how intelligent robotic systems can improve clinical team communication and reduce hierarchical breakdowns in high-stakes environments like emergency departments. With 57 citations, her foundational work on coordinating clinical teams established the human factors context driving much of her subsequent research. Taylor has made significant technical contributions through systems like RoboGEM and REGROUP, enabling robots to detect and track human groups from an egocentric perspective—advancing the field beyond simple human-robot dyadic interaction. Her applied work on social navigation, crash cart robots, and future hospital design demonstrates a rare ability to bridge algorithmic innovation with real-world clinical deployment. Spanning computer vision, social robotics, and patient safety, Taylor's body of work represents a coherent and impactful vision: building robots that don't merely operate alongside humans, but meaningfully support collaborative care when lives are on the line.