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About

Gita Fadila Fitriana is a robotics researcher specializing in swarm intelligence, multi-robot formation control, and gas leak detection systems. Her work focuses on developing hybrid methods that combine fuzzy logic controllers with optimization algorithms to enhance the autonomy and reliability of mobile robot teams. Her most cited paper, "The development of hybrid methods in simple swarm robots for gas leak localization" (2017, 8 citations), proposes novel approaches for early gas leak detection and identification using swarm robots, addressing critical environmental safety challenges. Fitriana has made significant contributions to leader-follower formation control, introducing Interval Type-2 Fuzzy Logic Controllers (IT2FLC) to overcome formation failures when leader robots malfunction—a key advancement over conventional Type-1 fuzzy controllers. Her research on non-holonomic mobile robots has improved trajectory tracking and formation stability, with papers published between 2017 and 2021 accumulating over 25 citations. By integrating Particle Swarm Optimization with Type-2 fuzzy logic, she has optimized swarm robot performance for collision avoidance and target reaching. Fitriana’s work bridges theoretical control systems with practical applications in hazardous environment monitoring, demonstrating how intelligent robotic swarms can mitigate industrial risks and enhance operational safety.