Sanghyun Joo

Agency for Defense Development, Korea Advanced Institute of Science and Technology

Papers

Total Citations

116

H-Index

About

Sanghyun Joo is a leading researcher in mobile robotics and autonomous navigation, with a particular focus on path planning and localization for non-holonomic and outdoor systems. His most influential work, the "Spline-Based RRT Path Planner for Non-Holonomic Robots" (2013), has garnered over 100 citations, establishing a foundational method for generating smooth, kinematically feasible trajectories in complex environments. Joo has also made significant contributions to outdoor localization through his innovative introduction of the "Elevation Moment of Inertia (EMOI)" feature, which enhances Monte Carlo localization by effectively matching elevation maps. This work addresses a critical challenge in outdoor robot navigation. Additionally, he developed the "1D Virtual Force Field (VFF) algorithm" for reflexive, real-time local path planning, offering a computationally efficient solution for obstacle avoidance. His recent research extends into the high-stakes domain of semiconductor manufacturing, where he has proposed the "K-Wafer Cyclic Sequence" for scheduling dual-armed cluster tools with purge operations, demonstrating the versatility of his optimization and sequencing expertise. With a career spanning foundational robotics to advanced industrial automation, Joo’s work continues to impact both theoretical algorithms and practical deployment in challenging environments.