Yihui Feng

Papers

Total Citations

H-Index

About

Yihui Feng’s research lies at the intersection of robotics, acoustics, and autonomous sensing, with a focus on enabling machines to perceive and interact with their environments through sound. Her most notable contribution is the development of active acoustic impedance mapping using mobile robots—a technique that allows robot teams to autonomously characterize how surfaces reflect or absorb sound. By equipping robots with speakers and dual microphones, Feng’s work transforms them into mobile acoustic probes, capable of constructing boundary impedance maps that are critical for modeling sound propagation in complex spaces. This pioneering approach has practical implications for architectural acoustics, noise control, and autonomous navigation in reverberant environments. Although her 2018 paper on this topic has garnered 2 citations, it represents a foundational step in a niche but growing field. Feng’s work demonstrates a creative fusion of hardware design, signal processing, and multi-robot coordination, offering a novel framework for environmental sensing that extends beyond traditional vision-based methods. Her research is particularly valuable for students and engineers interested in embodied intelligence and the use of sound as a sensing modality.