Mulyati Mulyati

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About

Mulyati Mulyati is a researcher in robotics and control systems, with a primary focus on multi-robot coordination and swarm intelligence. Her major contribution lies in advancing formation control for leader-follower robot systems, where she developed a fuzzy logic controller to enhance the reliability and safety of robot swarms. Her most-cited work, "Simulation Analysis of Formation Control Design of Leader-Follower Robot Using Fuzzy Logic Controller" (2019, 10 citations), addresses a critical challenge in multi-robotic systems: ensuring that follower robots maintain safe, constant distances from the leader while executing complex maneuvers. This research improves path planning for robot leaders and follower stability, offering practical solutions for applications in search-and-rescue, exploration, and automated logistics. Mulyati’s work is notable for its integration of fuzzy logic—a method that handles uncertainty—into formation control, making robot swarms more adaptive and robust. Her findings are foundational for students and researchers exploring decentralized robotics, providing a clear framework for designing intelligent, cooperative multi-robot teams. With her focus on simulation-based validation, Mulyati bridges theoretical control design and real-world robotic deployment, establishing her as a key contributor to the field of swarm robotics and intelligent systems.