Young-Rok Cheon

Papers

Total Citations

H-Index

About

Young-Rok Cheon is a robotics researcher whose primary focus lies in autonomous navigation and real-time obstacle avoidance for mobile robots. His most-cited work, "Real-time obstacle avoidance of mobile robots" (2007), introduces a novel formulation that enables spherical, omni-directional robots to navigate three-dimensional workspaces using point-based sensor data—a practical approach that mirrors how sensors like LiDAR typically capture environmental information. This contribution is foundational for enabling robots to dynamically react to obstacles without pre-mapped environments, a critical capability for applications in search-and-rescue, warehouse automation, and autonomous exploration. While his citation count (7) reflects a focused, niche impact, the work’s emphasis on real-time, sensor-driven decision-making has informed subsequent studies in reactive navigation and collision avoidance. Cheon’s research bridges theoretical control algorithms with real-world robotic constraints, offering a streamlined solution for safe, autonomous movement in cluttered spaces. His achievements underscore a commitment to practical, implementable robotics, making his work a valuable reference for students and engineers developing agile, sensor-based navigation systems.