Eko Budi Utomo

Papers

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About

Eko Budi Utomo is a robotics and intelligent systems researcher whose work bridges autonomous navigation and vehicular safety technologies. His primary research areas include mobile robot mapping, SLAM (Simultaneous Localization and Mapping) techniques, and embedded systems for transportation safety. Utomo’s most influential contribution is his 2019 study on occupancy grid map mapping using the Hector SLAM technique, which has garnered 17 citations. This work addresses a fundamental challenge in robotics—navigating unknown indoor environments—by demonstrating how differential drive mobile robots can effectively represent their surroundings through grid-based mapping methods. The research provides practical solutions for autonomous robot localization without requiring prior environmental knowledge. Additionally, Utomo contributed to vehicular safety through his 2016 prototype design of an Event Data Recorder (EDR) for motorcycles, cited 7 times. This work innovatively adapts EDR technology—traditionally limited to automobiles with integrated sensor systems—for two-wheeled vehicles, enabling accident analysis in a previously underserved domain. His research demonstrates a practical engineering approach to solving real-world problems, from indoor robot navigation to motorcycle safety systems, making his work relevant for both robotics researchers and transportation safety engineers.