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About

Yong-Kyu Lee is a versatile robotics researcher whose work spans autonomous agricultural systems, soft robotics, and bio-inspired locomotion. His research bridges the gap between cutting-edge engineering principles and real-world applications, demonstrating a rare breadth across both macro- and microscale robotic systems. Lee's most recognized contribution is the AgroNav framework, a vision-based autonomous navigation system for agricultural robots that leverages semantic segmentation and semantic line detection to guide vehicles through complex field environments — work that has garnered over 36 citations since its 2023 publication, reflecting its immediate relevance to precision agriculture. His 2021 work on a robotic soft swim bladder, utilizing liquid-vapor phase transitions to replicate biological buoyancy control, has attracted 31 citations and represents a meaningful advance in soft underwater robotics, overcoming the mechanical disturbances that plagued earlier designs. Beyond these flagship works, Lee has also contributed a comprehensive 2022 review of flagella- and cilia-inspired robots, synthesizing developments in fabrication, modeling, and fluid-structure interaction at the microscale. Together, these contributions establish Lee as a dynamic researcher advancing autonomy, soft actuation, and bio-inspired design across multiple robotic frontiers.