Auzuir Ripardo de Alexandria
Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Papers
6
Total Citations
123
H-Index
5
About
Dr. Auzuir Ripardo de Alexandria is a leading researcher in mobile robotics, autonomous navigation, and environmental monitoring. His work focuses on integrating artificial intelligence, computer vision, and formal modeling techniques to solve complex localization and mapping challenges. Dr. Alexandria’s most influential paper, “Localization and Navigation for Autonomous Mobile Robots Using Petri Nets in Indoor Environments” (63 citations), pioneered the use of Petri net incidence matrices combined with RFID technology for robust indoor robot navigation. He further advanced the field with “Global location of mobile robots using Artificial Neural Networks in omnidirectional images” (10 citations), demonstrating how neural networks can enhance visual localization. Beyond ground robots, Dr. Alexandria has made significant contributions to aquatic robotics, including the development of a robotic airboat for online water quality monitoring in lakes (28 citations) and an autonomous underwater vehicle for inspecting hydroelectric dams (11 citations). His recent systematic review, “New trends on computer vision applied to mobile robot localization” (8 citations), provides a comprehensive roadmap for the field. With over 120 total citations and ongoing work in simultaneous localization and mapping (SLAM) using Petri nets and computer vision, Dr. Alexandria continues to push the boundaries of autonomous systems for both indoor and outdoor environments.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Autonomous Underwater Vehicle to Inspect Hydroelectric Dams11 citations · 2014
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- 5New trends on computer vision applied to mobile robot localization8 citations · 2022
- 6