Papers
4
Total Citations
19
H-Index
3
About
Junwoo Jang is a rising leader in multi-robot systems and socially-aware autonomous navigation, whose work bridges the gap between complex mission planning and human-robot interaction. His research focuses on three key areas: heterogeneous multi-robot coordination, terrain-based localization in GNSS-denied environments, and socially-compliant robot navigation. Jang’s major contributions include developing a data-driven framework for cooperative replenishment in heterogeneous robot teams, enabling prolonged missions through intelligent rendezvous point selection (2024, 6 citations). He also pioneered topographic SLAM using a single terrain altimeter, offering a robust navigation solution for aerial and underwater vehicles in GPS-restricted areas (2022, 6 citations). In social robotics, Jang introduced the concept of “social zones” as barrier functions for safe, norm-aware navigation (2024, 5 citations), and advanced this work by learning implicit social behaviors through deep inverse reinforcement learning (2025, 2 citations). His innovative integration of control theory and machine learning has earned him recognition for making robots both operationally efficient and socially intuitive. With a growing citation impact, Jang’s research is shaping the future of autonomous systems in dynamic, human-centered environments.
Research Focus
Key Achievements
Top Papers
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