F. M. Maciel-Barboza
Papers
1
Total Citations
2
H-Index
1
About
F. M. Maciel-Barboza is a researcher whose work sits at the intersection of robotics, energy efficiency, and algorithmic optimization. Their primary research focus is on trajectory planning for mobile robots, with a particular emphasis on reducing energy consumption in both human-centric and industrial applications. Maciel-Barboza’s major contribution lies in the comparative analysis of classic pathfinding algorithms—specifically Dijkstra and A*—to determine their effectiveness in minimizing energy use during robot navigation. Their most-cited paper, "Optimizing Robot Pathways for Energy Efficiency: Dijkstra and A* Approaches" (2024), has garnered 2 citations, establishing a foundation for future work in sustainable robotics. By systematically evaluating these algorithms, Maciel-Barboza has provided critical insights into how heuristic and deterministic methods can be leveraged to enhance robot efficiency, a key challenge in the field. This work is particularly notable for its practical implications, offering a clear methodology for engineers and researchers seeking to design greener, more autonomous robotic systems. Maciel-Barboza’s research continues to influence the development of energy-aware path planning, making it a valuable reference for students and professionals alike.
Research Focus
Key Achievements
Top Papers
- 1