Samuel Ligama
Papers
1
Total Citations
13
H-Index
1
About
Samuel Ligama is a robotics researcher whose work centers on the localization and autonomous navigation of mobile robots, particularly in challenging outdoor environments. His most impactful contribution is an automatic calibration procedure that significantly improves the positional accuracy of tracked mobile robots. By employing an extended Kalman filter, his algorithm simultaneously estimates critical kinematic parameters—such as wheel radii and wheelbase—alongside magnetometer offset, addressing a fundamental problem in dead-reckoning and sensor fusion. This work, published in 2016 and garnering 13 citations, provides a practical, self-tuning solution that reduces the need for manual recalibration, thereby enhancing the reliability of autonomous systems in field operations. Ligama’s research is notable for its direct application to real-world robotics, bridging the gap between theoretical estimation techniques and robust outdoor deployment. His contributions are essential reading for engineers and researchers focused on odometry, sensor calibration, and the localization of unmanned ground vehicles operating in GPS-denied or unstructured terrains.
Research Focus
Key Achievements
Top Papers
- 1