Yongki Yusmanthia

Papers

Total Citations

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About

Yongki Yusmanthia is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous navigation. His most-cited paper, "Robot Localisation Using Natural Landmarks" (2013, 10 citations), addresses a fundamental challenge in mobile robotics: enabling robots to determine their position within an environment without relying on artificial markers. By leveraging naturally occurring features—such as corners, edges, or distinctive objects—Yusmanthia’s approach reduces the need for costly infrastructure modifications, making robotic navigation more adaptable and scalable for real-world applications. This contribution is particularly valuable for field robotics, where environments are often unstructured or dynamic. While his citation count may be modest, the work reflects a focused, practical contribution to the localization problem, a core pillar of autonomous systems. Yusmanthia’s research demonstrates a clear commitment to developing robust, cost-effective solutions that bring robots closer to seamless operation in human-centric spaces. For students and researchers exploring sensor-based navigation or landmark detection, his work offers a grounded example of how natural features can serve as reliable anchors for spatial awareness.