Max Robotics — Global Service Robot Directory + US Certification

About

Teegan Johnson is a rising researcher in human-robot collaboration (HRC) and industrial automation, with a focus on the psychological and physiological factors that determine operator acceptance of robotic systems. Her work addresses a critical question in modern manufacturing: can humans and robots safely and effectively share workspace? Johnson’s most-cited paper, “Putting People and Robots Together in Manufacturing: Are We Ready?” (2019, 10 citations), synthesizes readiness challenges in HRC deployment. She further investigates operator trust through studies like “Will Operators Work in Close Proximity to Industrial Robots?” (2020, 6 citations), which uses psychological and physiological responses to gauge acceptance. Her 2016 study on signal light position and human workload (5 citations) demonstrates how subtle design choices affect reaction time and cognitive load. Johnson’s 2021 work on optimizing robot assistance for operator acceptance (2 citations) continues this trajectory. While her citation counts are modest, her research is foundational for designing safer, more intuitive human-robot interfaces in Industry 4.0. Johnson’s contributions are particularly valuable for students and engineers seeking to bridge the gap between robotic capability and human comfort in collaborative manufacturing environments.