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About

Aan Eko Setiawan is a robotics and automation researcher whose work centers on intelligent control systems, autonomous navigation, and mobile robotics. His research consistently explores how advanced computational methods — particularly fuzzy logic control and artificial neural networks — can be harnessed to make robots smarter, safer, and more capable of operating independently in complex environments. Among his most significant contributions is his development of Mamdani Fuzzy Logic Controllers applied to diverse robotic platforms, including automatic goods carrier robots, underwater vehicles, and semi-autonomous navigation systems. His 2020 work on automatic goods carrier robots (13 citations) demonstrated how fuzzy logic could replace human control in industrial transport tasks, while his 2021 study on obstacle avoidance in autonomous vehicle robots (11 citations) advanced practical solutions for real-world navigation challenges. He has also pioneered multi-robot Automatic Guided Vehicle (AGV) systems, incorporating ANN-based direction recognition and vision sensors for intelligent coordination. Setiawan's portfolio further extends to fire-fighting robots controlled via Bluetooth and Virtual Reality, and robotic arm prototypes for industrial object handling. With a growing citation record spanning over 60 cumulative citations, his research makes meaningful contributions to industrial automation and human-robot collaboration, offering practical, implementable solutions for reducing human labor in hazardous or repetitive environments.