Papers
4
Total Citations
33
H-Index
3
About
Wenmin Wang is a pioneering researcher in mobile robotics, with a primary focus on sound source localization, simultaneous localization and mapping (SLAM), and human-robot interaction. His most influential work, "Real-Time Sound Source Localization for a Mobile Robot Based on the Guided Spectral-Temporal Position Method" (2012, 17 citations), addresses the formidable challenges of using compact microphone arrays on moving platforms in noisy, reverberant environments—a critical step toward enabling robots to perceive and respond to auditory cues in real-world settings. Wang further advanced autonomous navigation with his low-cost SLAM algorithm for last-mile indoor delivery (2019, 11 citations), targeting the complex, unfamiliar indoor environments that dominate modern e-commerce logistics. He has also contributed to natural human-robot interaction through robust hand tracking techniques that combine depth and image features (2012), and to teleoperation systems by researching efficient audio-video transmission for robot integrated machines (2014). Wang’s work consistently bridges theoretical innovation with practical, cost-effective solutions, making him a key figure in developing robots that can hear, navigate, and interact seamlessly in human environments.
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