Saparudin Saparudin

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About

Saparudin Saparudin is a researcher in swarm robotics and intelligent control systems, with a focus on pattern recognition and fuzzy logic approaches for multi-robot coordination. His work addresses critical challenges in autonomous navigation, including obstacle avoidance, flocking behavior, and route planning for swarm robots. In his highly cited 2016 paper, Saparudin introduced a novel reactive control framework that integrates Fuzzy-Kohonen Networks with Particle Swarm Optimization (FKNPSO), enabling swarm robots to dynamically avoid obstacles while maintaining group cohesion and efficiently reaching targets. This contribution has garnered 9 citations, reflecting its relevance to the field. Building on this foundation, his 2018 study tackled a key limitation in leader-follower formations—formation failure when the leader robot malfunctions—by proposing an Interval Type-2 Fuzzy Logic Controller (IT2FLC). This work, with 5 citations, enhances the robustness of non-holonomic robot teams. Saparudin’s research bridges theoretical fuzzy control with practical swarm applications, offering scalable solutions for autonomous systems. His achievements demonstrate a commitment to advancing intelligent robotics, making his work valuable for students and researchers exploring decentralized control and adaptive multi-agent systems.