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About

Kusnandar Kusnandar is a researcher specializing in mobile robotics, artificial intelligence, and control systems, with a particular focus on fuzzy logic applications for autonomous navigation. His major contributions lie in developing intelligent controllers that enable robots to navigate dynamic environments and avoid obstacles effectively. His work on hexapod and wheeled mobile robots demonstrates how Mamdani-type fuzzy logic controllers can enhance motion planning and real-time decision-making, bridging the gap between biological inspiration and engineering design. Among his most cited works, "Speed Control and Obstacle Avoidance of A Hexapod Mobile Robot using Mamdani type Fuzzy Logic Controller" (2019, 10 citations) and "Mamdani based Fuzzy Logic Controller for A Wheeled Mobile Robot with Obstacle Avoidance Capability" (2019, 9 citations) stand out for their practical contributions to autonomous robotics. He has also explored computer vision for robosoccer, presenting his work at the Modern Electrical Engineering Technology and Its Application Seminar (MEETAS) in 2016. Kusnandar’s research is particularly valuable for students and engineers interested in applying fuzzy logic to real-world robotic systems, offering a clear pathway from theory to implementation in autonomous navigation and control.