I M Fitriani

Papers

Total Citations

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About

I M Fitriani has made foundational contributions to probabilistic robotics, with a focused emphasis on autonomous mobile robot navigation. Her most cited work, a 2019 study on the computational complexity and performance of discrete Bayes and Kalman filters for 1D robot localization, provides a critical comparative analysis of these two fundamental probabilistic algorithms. This research directly addresses the trade-offs between computational efficiency and localization accuracy, offering valuable guidance for practitioners selecting filtering methods in resource-constrained robotic systems. While her citation count is currently modest, the technical depth of her work speaks to its relevance within the robotics community, particularly for those developing real-time navigation solutions. Fitriani’s research sits at the intersection of probability theory, sensor fusion, and mobile robotics, and her detailed examination of filter performance under varying conditions serves as a practical reference for students and engineers seeking to understand the operational limits of Bayes and Kalman filters in localization tasks.