Max Robotics — Global Service Robot Directory + US Certification

About

Seunghwan Park is a leading researcher in mobile robotics, specializing in collision avoidance, path generation, and autonomous navigation for both indoor and outdoor environments. His foundational work on the "collision map" concept, detailed in papers with over 13 citations each, introduced a novel analytical framework for understanding and predicting robot collision characteristics, enabling safer and more efficient path planning. Park’s research has significantly advanced obstacle avoidance for remotely operated mobile robots, as seen in his highly cited 2014 paper (14 citations) on the Expanded Guide Circle method, which provides human operators with intuitive guidance in partially known workspaces. He has also made notable contributions to multi-robot coordination, including task allocation strategies for heterogeneous teams in surveillance applications. Park’s work on topological map building using GIS data (6 citations) and localization for multi-floor stair navigation demonstrates his commitment to expanding robots’ operational range from controlled labs to complex urban and multi-story environments. His recent research on indoor/outdoor transition recognition and door detection further addresses critical challenges in seamless autonomous navigation. With a career spanning nearly two decades, Park’s practical sensor fusion and environment modeling techniques continue to influence the design of robust, real-world robotic systems.