Andi Adriansyah
Papers
24
Total Citations
188
H-Index
8
About
Andi Adriansyah is a prolific robotics and control systems researcher whose work centers on intelligent autonomous mobile robots, optimization-based control, and path planning. With a career spanning nearly two decades, he has made significant contributions to the design of behavior-based mobile robot architectures, consistently tackling one of the field's most persistent challenges: the automatic tuning of complex controller parameters. His pioneering application of Particle Swarm Optimization (PSO) to fuzzy logic controllers — demonstrated in his widely cited 2006 and 2015 studies — provided elegant, computationally efficient solutions to behavior coordination problems in mobile robots, earning over 39 combined citations. His research into wall-following robots, combining PID controllers with both genetic algorithms and PSO, has further advanced robust autonomous navigation, attracting 42 citations across related works. Adriansyah has also explored self-balancing two-wheeled robots, SLAM algorithms using smooth variable structure filters, generative adversarial networks for collision avoidance, and integrated path-planning algorithms such as RRT*SMART-A*. Collectively, his portfolio reflects a consistent drive to bridge classical control theory with modern machine learning and metaheuristic optimization, making his work highly relevant to researchers advancing intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Particle Swarm Fuzzy Controller for Behavior-based Mobile Robot16 citations · 2006
- 5IMPROVING THE WALL-FOLLOWING ROBOT PERFORMANCE USING PID-PSO CONTROLLER15 citations · 2019
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