Max Robotics — Global Service Robot Directory + US Certification

About

Minkuk Jung is a robotics researcher whose work focuses on the critical challenge of autonomous navigation for mobile service robots. His primary research areas include global localization, sensor fusion, and robust mapping in indoor environments. Jung’s most significant contribution is his development of an efficient global localization method that uses dual laser scanners and rotational motion, a paper that has garnered 15 citations and demonstrates a practical solution for robots to determine their position without prior knowledge. He further advanced the field by creating a robust mapping and localization system for indoor spaces, cited 12 times, which enhances a robot’s ability to navigate complex, dynamic settings. A notable early achievement is his sensor fusion approach, combining a Kinect sensor with a monocular upward-looking camera to generate a comprehensive environment map—integrating grid maps and ceiling features for reliable localization. More recently, Jung has explored safe robot interaction with human environments, as seen in his work on elevator boarding using RGB-D sensors. With a total of 37 citations across his key papers, Jung’s research provides foundational techniques for making service robots more autonomous and dependable in real-world indoor applications.