Jaeho Ahn

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Jaeho Ahn is a researcher in robotics and automation, with a primary focus on task planning and supervisory control for service robots. His most-cited work, "Task planning for service robots with optimal supervisory control" (2010), addresses the challenge of coordinating multiple service robots efficiently. Ahn applies the theory of supervisory control of discrete event systems to develop a cost-efficient task planning framework that optimizes robot performance without compromising service quality. By assigning cost functions to tasks, his approach ensures that robots execute operations in a resource-aware manner, balancing speed, energy, and reliability. Although his citation count is modest—with his top paper cited five times—this work represents a foundational step in integrating formal control methods with practical multi-robot coordination. Ahn’s contributions are particularly relevant for researchers exploring intelligent automation in domestic or industrial settings, where robots must adapt to dynamic environments while minimizing operational costs. His research bridges theoretical control engineering and applied robotics, offering a systematic method for enhancing the autonomy and efficiency of service robots. For students and scholars, Ahn’s work illustrates how discrete event systems can be leveraged to solve real-world planning problems in robotics.