Yangyang Huang

University of Bayreuth, Chongqing University, Kyoto University

Papers

Total Citations

H-Index

About

Yangyang Huang is a researcher whose work bridges fluid dynamics and intelligent robotics, with key contributions in low-Reynolds-number locomotion and computer vision-based inspection systems. Huang’s most notable study, “Passive swimming in viscous oscillatory flows” (2016, 14 citations), explores the constraints of Purcell’s scallop theorem, demonstrating how reciprocal shape kinematics prevent locomotion in viscous environments—a fundamental insight for micro-robotics and biological fluid dynamics. This work has informed understanding of passive swimming strategies, offering a foundation for designing micro-swimmers in oscillatory flows. In parallel, Huang’s research on fire inspection robots (2021, 5 citations) integrates computer vision for autonomous hazard detection, addressing real-world safety applications. Additionally, a speaker diarization system (2013, 5 citations) showcases expertise in robust localization and voice activity detection, highlighting versatility across acoustics and robotics. While citation counts reflect early-stage impact, Huang’s contributions to scallop theorem constraints and inspection robotics demonstrate a commitment to both theoretical and applied challenges. This work is particularly relevant for students exploring bio-inspired locomotion or autonomous systems in constrained environments.