Fabio Ugalde Pereira
Papers
3
Total Citations
40
H-Index
2
About
Fabio Ugalde Pereira is a robotics researcher specializing in autonomous navigation and path planning for mobile robots. His work centers on evaluating and optimizing trajectory planners within the Robot Operating System (ROS) framework, with a particular focus on comparing global and local algorithms for real-world applicability. Pereira’s most influential contribution is his analysis of local trajectory planners for mobile robots in ROS, which has garnered 20 citations for its systematic comparison of planner performance in symmetric and asymmetric environments. He has also conducted foundational studies on global path planning algorithms, notably benchmarking Dijkstra and A* algorithms using the simulated TurtleBot 3 robot, earning 18 citations for insights into their efficiency across varied environments. His research provides practical guidance for selecting optimal planners in robotics applications, bridging simulation and implementation. Pereira’s work is notable for its hands-on approach, employing ROS to test algorithms in realistic scenarios, making his findings valuable for students and researchers developing autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
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