Kesse Jonatas de Jesus
Papers
1
Total Citations
22
H-Index
1
About
Kesse Jonatas de Jesus is a robotics researcher whose work centers on autonomous navigation and visual Simultaneous Localization and Mapping (vSLAM). His most-cited study, “Comparison of Visual SLAM Algorithms ORB-SLAM2, RTAB-Map and SPTAM in Internal and External Environments with ROS” (2021, 22 citations), provides a rigorous benchmarking of three leading vSLAM algorithms—RTAB-Map, ORB-SLAM2, and SPTAM—using a differential-drive robot equipped with RGB-D and stereo cameras in both indoor and outdoor Gazebo simulations. This comparative analysis offers critical insights into algorithm performance under varied environmental conditions, directly informing the selection of robust SLAM solutions for real-world robotic applications. By systematically evaluating accuracy, computational efficiency, and robustness, de Jesus’s work helps bridge the gap between theoretical SLAM research and practical deployment in autonomous systems. His contributions are particularly valuable for researchers and engineers developing robots for exploration, mapping, and navigation tasks, where reliable localization is paramount. With a growing citation footprint, de Jesus continues to advance the field of mobile robotics, demonstrating a clear commitment to reproducible, simulation-based evaluation of state-of-the-art perception algorithms.
Research Focus
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Top Papers
- 1