Paulo R. A. Ribeiro
Papers
1
Total Citations
8
H-Index
1
About
Paulo R. A. Ribeiro is a researcher in mobile robotics and biologically inspired navigation, with a focus on simultaneous localization and mapping (SLAM). His major contributions center on the automatic tuning of RatSLAM, a SLAM algorithm modeled after the rodent brain’s navigation system. In his most-cited work, "Automatic Tuning of RatSLAM’s Parameters by Irace and Iterative Closest Point" (2020, 8 citations), Ribeiro addresses a critical challenge: the need to manually adjust RatSLAM’s parameters for each new environment. By introducing a method that combines the Irace automatic parameter tuning framework with the Iterative Closest Point algorithm, he significantly enhances the algorithm’s adaptability and performance. This work not only improves the practicality of RatSLAM in real-world applications but also advances the field of bio-inspired robotics. Ribeiro’s research bridges computational efficiency and biological plausibility, offering a robust solution for autonomous navigation. His contributions are particularly valuable for students and researchers exploring SLAM, parameter optimization, and neural-inspired robotics, demonstrating how automated tuning can reduce human intervention and increase system reliability.
Research Focus
Key Achievements
Top Papers
- 1