Novera Istiqomah
Papers
1
Total Citations
19
H-Index
1
About
Novera Istiqomah is a researcher specializing in mobile robotics, sensor navigation, and localization systems. Her most cited work, “Implementation of Mobile Sensor Navigation System Based on Adaptive Monte Carlo Localization” (2019, 19 citations), introduces an innovative approach that combines particle filters with Kullback-Leibler Distance (KLD) sampling to accelerate localization in unknown environments. This contribution addresses a critical challenge in autonomous navigation—balancing accuracy with computational efficiency—enabling mobile sensors to explore and map unfamiliar spaces more rapidly. Istiqomah’s research has practical implications for fields such as autonomous vehicles, search-and-rescue robotics, and environmental monitoring. By refining adaptive Monte Carlo methods, she has helped advance the reliability of real-time localization systems. Her work is particularly notable for its focus on reducing time execution without compromising precision, a key requirement for deploying robots in dynamic, unstructured settings. Istiqomah’s contributions continue to influence researchers and engineers working on intelligent navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1