Max Robotics — Global Service Robot Directory + US Certification

About

Jounghoon Beh’s research advances the frontier of human-robot interaction, focusing on robust speech interfaces and intuitive gesture-based control. His most cited work, “Combining acoustic echo cancellation and adaptive beamforming for achieving robust speech interface in mobile robot” (2008, 7 citations), pioneers an integrated scheme that merges adaptive beamforming with acoustic echo cancellation. This innovation enables full-duplex communication, allowing robots to hear user commands clearly even amidst their own vocal responses—a critical step for natural, real-world deployment. Beh further contributes to gesture recognition with “Motion primitives for designing flexible gesture set in Human-Robot Interface” (2011, 4 citations), where he statistically analyzes hand movements to construct four foundational motion primitives. This framework simplifies the design of customizable gesture sets for robot control. His work on “Robot User Control System using Hand Gesture Recognizer” (2011, 2 citations) employs Hidden Markov Models to translate hand signals into commands, while “Enabling directional human-robot speech interface via adaptive beamforming and spatial noise reduction” (2007, 2 citations) introduces multi-channel spatial noise reduction for directional audio conduits. Collectively, Beh’s contributions—spanning acoustic processing and gesture design—lay essential groundwork for creating responsive, user-friendly robots that interact seamlessly through both voice and motion.