Sun Hao

Papers

Total Citations

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About

Sun Hao is a researcher whose work sits at the intersection of robotics, acoustics, and signal processing, with a particular focus on auditory perception for autonomous systems. His most influential contribution, "Sound source localization system based on mobile robot" (2012), introduces a novel method for auditory system design using time-difference-of-arrival (TDOA) techniques. In this work, Hao explores the selection of microphones and signal preprocessing tailored to the unique characteristics of sound, and employs a tetrahedral microphone array to calculate sound source positions with improved accuracy. This foundational study, which has garnered 6 citations, provides a practical framework for enabling mobile robots to localize sounds in real-world environments—a critical capability for human-robot interaction, search-and-rescue operations, and assistive technologies. Hao’s research bridges the gap between theoretical acoustics and applied robotics, offering engineers and students a clear methodology for integrating auditory sensing into mobile platforms. His work remains a valuable reference for those developing autonomous systems that rely on multimodal perception, demonstrating how careful sensor design and algorithmic preprocessing can enhance a robot’s ability to interpret its acoustic surroundings.