Max Robotics — Global Service Robot Directory + US Certification

About

Heechang Moon is a robotics researcher whose work spans autonomous racing, agricultural robotics, and human-robot interaction. His most cited paper, "Autonomous Robot Racing Competitions" (2024, 7 citations), highlights his contributions to advancing multivehicle autonomous racing as a platform for testing and accelerating robotics technologies. Moon also addresses practical challenges in service robotics, proposing human-robot interaction designs for autonomous disinfection robots during the Covid-19 pandemic (2021, 5 citations). In agricultural robotics, he developed a real-time path planning algorithm using ridge detection with solid-state LiDAR for autonomous farming vehicles (2022, 3 citations), enabling precise navigation to prevent crop damage. His comparative study of GPS and SLAM modules for waypoint-based autonomous delivery robots (2022, 2 citations) further demonstrates his focus on improving localization reliability in complex environments. Through these works, Moon has made notable contributions to autonomous navigation, field robotics, and human-centered robot design, with his research gaining traction in both academic and applied contexts.