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About

Sungwook Cho is a leading researcher in aerial robotics and autonomous drone systems, with a focus on vision-based navigation and multi-UAV coordination. His most impactful work, "A direct visual servoing‐based framework for the 2016 IROS Autonomous Drone Racing Challenge" (60 citations), introduced a novel framework combining direct visual servoing with leg-by-leg planning to navigate obstacle-dense environments, demonstrating real-time performance in competitive drone racing. This work laid the foundation for agile, vision-guided flight in cluttered spaces. Cho also advanced aerial manipulation with his development of a vision-enabled aerial manipulator using a parallel robot (13 citations), integrating an eye-in-hand visual system to enhance precision in tasks like grasping and inspection. In the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC), he contributed to a mission management system (11 citations) that coordinated three UAVs for complex logistics—searching, picking, and dropping 23 targets autonomously. His earlier work on a robot-machine interface for humanoid vehicle control (3 citations) explored full-functionality automation. With a career spanning competitive challenges and practical applications, Cho’s research pushes the boundaries of autonomous aerial systems, emphasizing robust perception and real-world deployment.