Erwin Budi Setiawan

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About

Erwin Budi Setiawan is a robotics researcher focused on autonomous navigation and intelligent exploration systems. His work centers on developing algorithms that enable robots to operate effectively in complex, hazardous environments—particularly those created by natural disasters like earthquakes, where human access is impossible. Setiawan’s major contributions include pioneering the application of the Flood Fill algorithm for pathfinding in maze-solving robots, as demonstrated in his 2016 paper (14 citations), and optimizing these systems by combining A* with Flood Fill algorithms (2017, 10 citations). His most recent and notable work introduces an exploration robot powered by the YOLOv8 algorithm (2024, 2 citations), designed specifically for extreme-condition search and rescue operations. This robot represents a significant leap forward, integrating real-time object detection with autonomous navigation to assist first responders in life-threatening scenarios. With a growing citation impact and a clear trajectory from foundational algorithm design to applied disaster-response technology, Setiawan is establishing himself as an innovator at the intersection of robotics, artificial intelligence, and humanitarian engineering.