Doo-Hyun Cho

Korea Advanced Institute of Science and Technology, Korea University

Papers

Total Citations

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About

Doo-Hyun Cho is a robotics researcher whose work spans autonomous aerial systems, robotic manipulation, and the integration of artificial intelligence into physical systems. His research focuses on developing intelligent robots that can perceive, plan, and act in complex, dynamic environments. Cho has made significant contributions to informative path planning (IPP) for multi-UAV systems, designing algorithms that enable drones to autonomously navigate wind fields while maximizing the information gathered about environmental phenomena—a critical capability for applications like disaster monitoring and precision agriculture. His 2018 paper on this topic has accumulated 14 citations, establishing a foundation for adaptive multi-robot exploration. In parallel, Cho has advanced robotic manipulation through the development of an underactuated three-finger robot hand that mimics human-like flexion, a design that balances mechanical simplicity with dexterous grasping. More recently, his 2024 survey on foundation models for robotic autonomy (11 citations) has become a key reference for researchers exploring how large-scale AI models can unlock new levels of adaptability in robots. Through this diverse portfolio, Cho demonstrates a commitment to bridging perception, planning, and physical interaction in robotics.