Gyeong Chan Kim

Papers

Total Citations

171

H-Index

About

Dr. Gyeong Chan Kim is a leading robotics researcher whose work centers on risk-aware motion planning, multi-agent coordination, and safe autonomous navigation. His most impactful contribution is a pioneering method for risk-aware motion planning and control using Conditional Value-at-Risk (CVaR) constraints, which systematically balances safety and performance in environments with unpredictable obstacles—a paper that has garnered 108 citations and become a foundational reference in the field. Dr. Kim further advanced the state of the art with his work on online distributed trajectory planning for quadrotor swarms, introducing the concept of a Linear Safe Corridor (LSC) to guarantee safe, dynamically feasible trajectories in cluttered settings. This 2022 paper, with 63 citations, provides a scalable solution for multi-agent systems, ensuring feasibility and safety without centralized computation. His research directly addresses critical challenges in autonomous systems, from single-robot navigation to swarm coordination, and has been recognized for its practical impact on real-time, safety-critical operations. Dr. Kim’s contributions continue to shape how robots perceive and act in uncertain, dynamic worlds.