Hyojun Go

University of Toronto, Kyungnam University

Papers

Total Citations

H-Index

About

Hyojun Go is a researcher advancing the frontiers of autonomous aerial robotics and visual servoing, with a focus on enabling aggressive, perception-aware flight for quadrotor UAVs. His most cited work, "Perception-Aware Image-Based Visual Servoing of Aggressive Quadrotor UAVs" (2023, 28 citations), tackles the critical challenge of maintaining visual feature tracking during high-speed, underactuated maneuvers—a problem that has long constrained the agility of vision-guided drones. By developing control methods that relax strict target visibility assumptions, Go’s research directly impacts applications in search-and-rescue, aerial cinematography, and autonomous inspection where robust visual feedback is essential. His earlier contributions include work on image-based visual feedback control for dual-arm robots (2002, 5 citations), where he pioneered stereo vision techniques for precise position and orientation control. This foundational research demonstrates his long-standing commitment to integrating perception and action in robotic systems. Go’s work bridges theoretical control theory with practical deployment challenges, offering solutions that push the boundaries of what quadrotors can achieve in dynamic, unstructured environments. His contributions are particularly valuable for students and researchers exploring vision-based autonomy, aggressive flight, and sensor-driven control.