Ciprian-Marian Bilu
Papers
1
Total Citations
9
H-Index
1
About
Ciprian-Marian Bilu is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and real-time perception systems for terrestrial robots. His most cited paper, "LIDAR based distance estimation for emergency use terrestrial autonomous robot" (2021, 9 citations), introduces a novel implementation of the LIO-SAM algorithm—a tightly-coupled lidar-inertial odometry framework—using an Ouster OS1-64 LIDAR and XSens MTI-1 IMU. This contribution is particularly significant for emergency response robotics, where reliable distance estimation and robust localization in unstructured environments are critical. Bilu’s research addresses key challenges in SLAM (Simultaneous Localization and Mapping) by integrating high-resolution 3D sensing with inertial data, enabling autonomous robots to operate safely in GPS-denied or hazardous settings. His work has practical implications for search-and-rescue missions, disaster response, and autonomous navigation in complex terrains. By advancing the reliability of lidar-based perception, Bilu is helping to bridge the gap between experimental algorithms and deployable robotic systems. His ongoing efforts continue to push the boundaries of autonomous mobility, making him a notable contributor to the field of field robotics and emergency automation.
Research Focus
Key Achievements
Top Papers
- 1