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About

Qinqi Xu is a researcher specializing in robotic auditory systems, sound source localization, and microphone array signal processing, with a particular focus on applications in search-and-rescue robotics. Xu's work addresses a critical challenge in disaster response scenarios — the inability of rescue robots to detect survivors using conventional sensors such as visual, ultrasonic, or infrared systems when smoke, debris, or collapsed structures obstruct line-of-sight detection. By leveraging the diffraction properties of audio signals, Xu pioneered microphone array-based localization systems that enable robots to identify and locate sound-emitting survivors even in obstructed environments. Among Xu's most notable contributions is the development of tetrahedral microphone array configurations combined with time-difference-of-arrival (TDOA) algorithms, enabling accurate three-dimensional far-field sound source localization on mobile robotic platforms. This body of work, spanning from early system design concepts in 2009 through increasingly refined implementations by 2012, has accumulated citations totaling nearly 40 across five key publications. Xu's research bridges acoustic signal processing, embedded hardware design, and autonomous robotics, offering meaningful advancements in humanitarian technology and laying important groundwork for future intelligent rescue systems.