Max Robotics — Global Service Robot Directory + US Certification

About

Hunsue Lee is a robotics researcher whose work focuses on multi-robot systems, human-robot interaction (HRI), and cognitive robotic architectures. His major contributions include developing a "Cognitive Robotic Engine (CRE)" for robust recognition and decision-making under uncertainty, and a novel rotating-triangles landmark method for indoor multi-robot localization that addresses the limitations of conventional landmark generation. Lee also advanced path planning for heterogeneous marsupial robot teams—where a large carrier deploys multiple rovers—using probabilistic roadmaps to optimize initial deployment and multi-robot coordination. In the domain of service robotics, he explored caller identification in cluttered environments and studied how behavioral personality in service robots can enhance user convenience and acceptance. While his citation counts are modest (3–4 per paper), his work spans foundational challenges in robot perception, team coordination, and social interaction. Notably, his research on marsupial robot teams and cognitive engines for HRI reflects a sustained interest in enabling robots to operate dependably in real-world, uncertain settings—a critical step toward practical deployment in homes and offices.