معرفی
Derrick Yeo is a Lecturer in Robotics at the University of Michigan, affiliated with the Department of Robotics within the College of Engineering. His research focuses on advancing unmanned aerial systems (UAS), particularly in aerodynamic sensing, control systems, and multi-vehicle coordination. He specializes in improving UAV performance under environmental uncertainties such as wind gusts and plume tracking missions.
Key research areas include tailsitter UAVs, cyclocopters, and fixed-wing gliders, with a strong emphasis on experimental validation and data-driven approaches. His work integrates sensor technologies to enhance autonomy in challenging environments. Notable contributions include strategies for energy-efficient motion planning, gust mitigation, and plume localization.
Dr. Yeo has also developed educational modules like the nCoV-BusterBot simulation lab to support remote learning in autonomous systems. His publications span over a decade, reflecting expertise in aerodynamics, control systems, and interdisciplinary applications like cybersecurity education for engineers.
