Rakjoon Chung

Seoul National University, Samsung (South Korea)

Papers

Total Citations

H-Index

About

Rakjoon Chung is a robotics researcher whose work spans the critical intersection of mobile robot safety and dexterous manipulation. His primary research areas include wheeled mobile robot dynamics, trajectory safety classification, and robotic grasping. Chung’s most impactful contribution is his novel Planned Trajectory Classification Method (PTCM), which evaluates the safety of car-like four-wheeled mobile robots before they execute a path, preventing dangerous rollovers and slips—a key advance for autonomous navigation in complex environments. His work on real-time tire force estimation, using a tire-model-based constrained Kalman filter, has also been foundational, enabling precise control of dynamic robots with only onboard sensors. In manipulation, Chung developed the RGBD Fusion Grasp Network alongside a large-scale tableware grasp dataset, tackling the difficult problem of stable grasping of flat household objects. Though his citation counts are modest (5, 4, and 3 citations respectively), each paper addresses a fundamental, unsolved challenge in robotics. Chung’s research is notable for its practical, safety-first approach, bridging theoretical dynamics with real-world robotic applications.