Christian E. Pranata

Papers

Total Citations

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About

Christian E. Pranata is a leading researcher in the field of autonomous robotics, with a primary focus on robust and efficient state estimation for mobile platforms. His major contributions center on the development of lidar-inertial odometry systems, which are critical for enabling reliable navigation in challenging environments. Pranata is best known for authoring two highly influential papers: "LINS: A Lidar-Inertial State Estimator for Robust and Fast Navigation" and "R-LINS: A Robocentric Lidar-Inertial State Estimator for Robust and Efficient Navigation," both published in 2019. These works introduced innovative, tightly-coupled sensor fusion frameworks that combine 3D lidar data with 6-axis IMU measurements using an iterated error-state Kalman filter (ESKF). His robocentric approach in R-LINS significantly enhances computational efficiency and robustness, making real-time SLAM feasible on resource-constrained platforms. With each paper garnering 7 citations, Pranata’s research has already influenced subsequent work in autonomous navigation, particularly in applications requiring high reliability and speed. His contributions are paving the way for more resilient autonomous systems in complex, real-world environments.