Yuanzheng He
Papers
2
Total Citations
33
H-Index
2
About
Yuanzheng He is a rising researcher in robot audition and acoustic sensing, with a focus on enabling robots to perceive and interpret complex auditory environments. His key research areas include microphone array calibration, sound source localization, and acoustic scene mapping for autonomous systems. He has made significant contributions to the practical deployment of multi-microphone arrays on robots, particularly through his work on joint calibration and localization. His most-cited paper, “SLAM-Based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization” (2024, 25 citations), tackles the challenging problem of accurately calibrating multiple arrays without prior knowledge, integrating simultaneous localization and mapping (SLAM) principles to estimate unknown transforms and sound source positions. In his follow-up work, “I-ASM: Iterative Acoustic Scene Mapping for Enhanced Robot Auditory Perception in Complex Indoor Environments” (2024, 8 citations), he introduces a novel particle filter-based iterative framework that maps multiple sound sources in cluttered spaces, bypassing the need for prior data association or SLAM. These contributions advance robot auditory perception, with potential applications in search-and-rescue, human-robot interaction, and smart environments. He is recognized for pushing the boundaries of acoustic SLAM and multi-array calibration.
Research Focus
Key Achievements
Top Papers
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- 2