Max Robotics — Global Service Robot Directory + US Certification

About

Jillian Greczek is a pioneering researcher in socially assistive robotics (SAR), with a focus on creating intelligent, personalized robotic systems that improve human well-being—especially for children. Her work bridges human-robot interaction, machine learning, and developmental psychology to design robots that teach, coach, and encourage positive behavior change. Greczek’s most influential contribution is the development of **graded cueing feedback**, a computational model that enables robots to provide the minimum necessary guidance to users, promoting autonomy and skill acquisition. This approach was validated in a landmark study with 12 children with autism spectrum disorders (ASD), where a humanoid robot used graded cueing during imitation games, demonstrating significant potential for therapeutic intervention (80 citations). She also led the innovative “How to Train Your DragonBot” study, in which a DragonBot robot taught 26 first-graders about nutrition over six sessions, achieving high engagement and 124 citations. Beyond therapy and education, Greczek explored telepresence robots for K-12 classrooms and developed algorithms for personalized pain anxiety reduction in children undergoing medical procedures. Her work has been recognized for its direct impact on real-world applications, from special education to pediatric healthcare, establishing her as a leader in human-centered robotics.