Papers
9
Total Citations
90
H-Index
4
About
Inkyu Jang is a robotics and control systems researcher whose work sits at the intersection of safe motion planning, robust trajectory optimization, and multi-agent coordination. His research addresses one of the most pressing challenges in modern robotics: ensuring that autonomous systems operate safely and reliably in complex, uncertain, and cluttered real-world environments. Jang has made significant contributions to safety-critical control, notably advancing the use of Control Barrier Functions (CBFs) for mobile robot navigation, earning 27 citations for his 2024 work on Lyapunov-based CBF frameworks. His development of Hamilton–Jacobi reachability-based receding horizon planning (19 citations) provides provable safety guarantees for nonlinear systems under unknown disturbances—a critical need for real-world deployment. He has also contributed to cooperative manipulation through Parametric Dynamic Movement Primitives (21 citations), enabling robots to generalize learned skills across tasks efficiently. Beyond individual robot safety, Jang has expanded his focus to multi-agent systems, tackling deadlock, livelock, and minimum-speed constraints for autonomous swarms and fixed-wing aircraft. His 2024 survey on safe motion planning and control serves as a valuable resource for the broader research community. With cumulative citations approaching 90, Jang's work is shaping the theoretical and practical foundations of safe autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 4Safe Motion Planning and Control for Mobile Robots: A Survey8 citations · 2024
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- 8Safe Receding Horizon Motion Planning with Infinitesimal Update Interval2 citations · 2024
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