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About

Hong-Mo Je is a researcher whose work bridges robotics, human-computer interaction, and biomedical engineering. His key research areas include hand gesture recognition, multi-robot localization, and surgical robotics. Je’s most cited work, "Hand Gesture Recognition To Understand Musical Conducting Action" (2007, 32 citations), pioneered the use of stereo vision to interpret musical time patterns and tempos for conducting robot orchestras or computer-based music systems—eliminating the need for special devices. He further advanced this field in a related 2007 paper (4 citations). In surgical robotics, Je contributed to "Tele-operation master-slave system for minimal invasive brain surgery" (2009, 17 citations), addressing tumor resection with reduced blood loss and pain. His work on multi-robot localization, including "Bayesian Multidimensional Scaling for Multi-Robot Localization" (2008, 7 citations) and "Partially observed distance mapping for cooperative multi-robot localization" (2008, 5 citations), introduced novel distance-mapping methods that function with incomplete data, enhancing cooperative robot navigation. With over 65 total citations, Je’s diverse contributions demonstrate a commitment to practical, sensor-driven solutions that improve human-robot interaction and medical robotics.