Antonio de Jesus Ortiz Gonzalez
Centro de Investigación Científica y de Educación Superior de Ensenada
Papers
1
Total Citations
4
H-Index
1
About
Dr. Antonio de Jesus Ortiz Gonzalez is a robotics researcher whose work centers on autonomous navigation and perception, with a particular focus on the challenge of simultaneous localization and mapping (SLAM) for mobile robots. His most cited paper, "Adaptive algorithm for the SLAM design with a RGB-D camera" (2019, 4 citations), addresses a core problem in field robotics: enabling a robot to localize itself in unknown, GPS-denied environments using only onboard sensors. In this work, Ortiz Gonzalez proposes an adaptive algorithm that leverages RGB-D cameras to improve the robustness and efficiency of SLAM, allowing robots to build maps and track their position in real time without external reference systems. This contribution is significant for applications ranging from autonomous exploration to service robotics, where reliable self-localization is critical. While his citation count is modest, the work reflects a deep engagement with a foundational problem in mobile robotics, and his adaptive approach offers a practical step toward more resilient autonomous systems. Ortiz Gonzalez’s research sits at the intersection of computer vision, sensor fusion, and control, and his work continues to inform efforts to make robots truly self-sufficient in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Adaptive algorithm for the SLAM design with a RGB-D camera4 citations · 2019