Benediktus Wijayanto

Papers

Total Citations

H-Index

About

Benediktus Wijayanto is a researcher focused on robotics and intelligent control systems, with particular expertise in automated guided vehicles (AGVs) and fuzzy logic methodologies. His most cited work, "Automated Guided Vehicle Simulation Software Development using Parallel Cascade Fuzzy Method for Reaching a Target" (2018, 3 citations), addresses a critical challenge in AGV development: navigating volatile operating environments. Wijayanto advanced the parallel cascade fuzzy method—a specialized approach previously unexplored for goal-reaching tasks—by implementing it in simulation software to enable AGVs to adapt to changing conditions and successfully reach target areas. This contribution bridges a gap in adaptive robotics, offering a robust solution for real-world automation where environmental unpredictability is common. While his citation count reflects a focused, emerging impact, his work underscores a commitment to practical, simulation-based innovations that enhance autonomous vehicle reliability. Wijayanto’s research is particularly relevant for students and engineers exploring fuzzy control systems, robotics simulation, and adaptive navigation, providing a foundation for further development in intelligent automation and industrial robotics.