Max Robotics — Global Service Robot Directory + US Certification

About

Minsoo Hahn is a pioneering researcher at the intersection of speech processing, human-robot interaction, and autonomous mobile robotics. His most influential work, the HMM-based Korean speech synthesis system for hand-held devices (51 citations), established foundational techniques for deploying natural speech interfaces on resource-constrained platforms like PDAs and PMPs—critical for enabling intuitive communication with robots and portable devices. Hahn’s contributions extend to robust auditory perception, where he developed multi-channel noise reduction algorithms combining beamforming and masking-based Wiener filtering to improve speech recognition in noisy, real-world environments. In robotics, he advanced dynamic EKF-based SLAM frameworks (12 citations) that handle landmark changes in dynamic settings, significantly improving autonomous navigation for mobile convergence platforms. His creative application of robotics is evident in the Robot Photographer system (18 citations), which uses stereo vision and gesture recognition to interact with people, and in his work on robot actors and authoring tools for live performance (5 citations), merging technology with the performing arts. With a career spanning speech synthesis, sound localization, and multi-robot systems, Hahn’s research has garnered over 130 citations, demonstrating lasting impact on making machines more perceptive, communicative, and interactive.