Ming-Tang Lee
Papers
1
Total Citations
71
H-Index
1
About
Ming-Tang Lee is a leading researcher in robot audition and autonomous systems, with a focus on integrating auditory perception into mobile robotics. His most influential work, "Simultaneous Localization of a Mobile Robot and Multiple Sound Sources Using a Microphone Array" (2010, 71 citations), introduced a groundbreaking framework that enables a robot to concurrently estimate its own position and track multiple sound sources using an onboard microphone array—a critical advancement over traditional static array approaches. This contribution addresses a fundamental challenge in dynamic environments, allowing robots to navigate and interact more naturally by leveraging sound cues. Lee’s research bridges robotics, signal processing, and sensor fusion, with applications in human-robot interaction, search-and-rescue, and assistive technologies. His work has been widely recognized for its practical impact, laying the foundation for real-time auditory localization in moving platforms. By demonstrating that a mobile robot can simultaneously localize itself and multiple sound sources, Lee has opened new avenues for robust, multi-modal perception in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1