Sukamto Sukamto

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Sukamto Sukamto focuses on the intersection of control systems, robotics, and artificial intelligence, with a particular emphasis on autonomous mobile robot navigation and formation control. His most-cited work, "Formation Control for Mobile Robot using Fuzzy - PI Controller" (2020), addresses a critical military application: deploying autonomous ground robots to protect soldiers during platoon formations. By integrating fuzzy logic with proportional-integral control, Sukamto developed a system that enables robots to autonomously maintain their positions relative to moving soldiers, enhancing operational safety and efficiency. This contribution demonstrates his ability to bridge theoretical control algorithms with real-world defense needs. While his citation count is currently modest, his research holds significant potential for advancing autonomous systems in tactical environments. Sukamto’s work reflects a practical, problem-driven approach, tackling challenges in multi-robot coordination and adaptive control. His achievements underscore a commitment to leveraging robotics for human protection, making his research relevant to students and engineers interested in military robotics, fuzzy control, and autonomous navigation.