Hyung‐Jin Yoon

University of Illinois Urbana-Champaign, University of Nevada, Reno

Papers

Total Citations

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About

Hyung-Jin Yoon is a leading researcher at the intersection of robotics, control theory, and human-robot interaction. His work focuses on enabling safe, socially-aware autonomy for aerial robots operating in close proximity to humans, as well as developing robust control frameworks for multi-agent systems. Yoon’s most influential paper, "Socially Aware Path Planning for a Flying Robot in Close Proximity of Humans" (2019, 21 citations), introduces a motion planning framework that models human safety perception, a critical step toward trustworthy human-drone collaboration. He further advances safe control theory with "Path Integral Methods with Stochastic Control Barrier Functions" (2022, 14 citations), which addresses the challenge of optimal control under nonlinear stochastic dynamics—a foundational contribution to safety-critical robotics. In multi-agent systems, Yoon’s "Learning to Communicate" (2019, 8 citations) presents a machine learning framework for heterogeneous robots to efficiently share visual observations under communication constraints. His work has been recognized for its practical impact, including the development of a VR environment (2017, 7 citations) to study human-drone interaction. With a growing citation record, Yoon’s research continues to shape the future of safe, intelligent, and socially-aware robotic systems.