Rodrigo S. Xavier

Universidade Federal do Rio Grande do Norte

Papers

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About

Rodrigo S. Xavier is a leading researcher in robotics and computer vision, with a primary focus on Simultaneous Localization and Mapping (SLAM) and augmented reality systems. His major contributions center on the experimental evaluation and validation of ROS-compatible SLAM algorithms for RGB-D sensors, providing critical benchmarks that have guided the robotics community in selecting effective navigation solutions. Xavier's work on accuracy analysis of augmented reality markers for visual mapping and localization has advanced the understanding of how artificial features can enhance 3D scene reconstruction. His highly cited 2017 study on ROS-compatible SLAM algorithms (23 citations) remains a foundational reference for researchers implementing indoor robot navigation systems. In his 2019 experimental analysis of mapping and navigation for indoor robots under ROS (10 citations), Xavier demonstrated practical solutions for integrating SLAM packages into real-world robotic platforms. His research has significantly impacted the development of robust, sensor-based navigation systems, making him a respected authority in the field of autonomous robotics and visual perception.