Fagner de Assis Moura Pimentel
Papers
3
Total Citations
26
H-Index
3
About
Fagner de Assis Moura Pimentel is a robotics researcher whose work centers on social navigation—the challenge of enabling robots to move safely and naturally alongside humans. His most influential contribution, "Evaluation of ROS Navigation Stack for Social Navigation in Simulated Environments" (2021, 16 citations), systematically assesses how the Robot Operating System (ROS) Navigation Stack performs in human-populated spaces, providing critical benchmarks for deploying autonomous robots in crowded real-world settings. Building on this, his earlier study "Performance Evaluation of ROS Local Trajectory Planning Algorithms to Social Navigation" (2019, 7 citations) compares local path-planning methods, highlighting the trade-offs between accuracy and safety that remain central to social robotics. Pimentel also contributed to the RoboCup community through the "MR-Simulator" (2011, 3 citations), a mixed-reality simulation platform for competition. His work directly informs the development of socially aware robots—from service robots in hospitals to autonomous delivery vehicles—by offering empirical evidence on which navigation algorithms best balance efficiency with human comfort. For students and researchers entering human-robot interaction, Pimentel’s studies serve as a practical guide to implementing and evaluating ROS-based social navigation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3MR-Simulator: A Simulator for the Mixed Reality Competition of RoboCup3 citations · 2011