Heri Satria Setiawan
Papers
1
Total Citations
2
H-Index
1
About
Heri Satria Setiawan is a researcher whose work centers on probabilistic robotics, with a particular focus on autonomous mobile robot navigation and localization. His most-cited paper, "A study of a discrete Bayes and a Kalman filter computational Complexity and performance in the case of 1D robot localization" (2019), provides a foundational comparison of two core probabilistic algorithms—the discrete Bayes filter and the Kalman filter—analyzing their computational complexity and performance in one-dimensional robot localization. This work is essential for students and researchers seeking to understand the trade-offs between accuracy and efficiency in state estimation for mobile robotics. With 2 citations, the paper serves as a concise reference point for those entering the field of probabilistic robotics. Setiawan’s contributions are particularly valuable for their clarity in breaking down complex algorithmic concepts, making them accessible to newcomers. His research underscores the importance of probabilistic approaches in enabling reliable autonomous navigation, a critical component of modern robotics.
Research Focus
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Top Papers
- 1