Yudhi Gunardi
Papers
8
Total Citations
56
H-Index
5
About
Yudhi Gunardi is a robotics researcher whose work centers on mobile robot navigation, behavior-based control, and mathematical modeling for autonomous systems. His major contributions include the development of a **Particle Swarm Fuzzy Controller** for goal-seeking behavior in mobile robots, which addresses the challenge of manually tuning fuzzy logic parameters by optimizing them through swarm intelligence—a method that has earned 23 citations. Gunardi has also pioneered the use of **Mirror Petri Net** and **Reachability Petri Net** methods for robot navigation, offering novel approaches to handling obstacles and intersections, particularly in sharp turning scenarios. His research emphasizes precise, fast navigation in complex environments, with applications in education and real-world robotics. Beyond theoretical work, Gunardi has created simulation tools to facilitate robotics teaching in higher education, and he has engaged in community service, introducing robot programming to youth in West Jakarta. With over 50 citations across his most-cited papers, his work bridges intelligent control, mathematical modeling, and practical robotics education, making him a notable figure in behavior-based mobile robot development.
Research Focus
Key Achievements
Top Papers
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- 4Optimization of Circular Robot Size Using Behavior Based Architecture5 citations · 2017
- 5Mathematics Base for Navigation Mobile Robot Using Reachability Petri Net5 citations · 2018
- 6Design a Simulation Tools for Goal Seeking Behavior of a Mobile Robot4 citations · 2021
- 7Petri net modeling for mobile robot motion in sharp turning cases3 citations · 2022
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