C. E. B. Goytia-Luna
Universidad Autónoma de Zacatecas "Francisco García Salinas"
Papers
1
Total Citations
2
H-Index
1
About
C. E. B. Goytia-Luna is a researcher focused on advancing mobile robotics through trajectory planning and algorithmic optimization. Their primary contributions lie in the comparative analysis of pathfinding algorithms—specifically Dijkstra and A*—applied to energy-efficient robot navigation. In their 2024 work, Goytia-Luna systematically evaluated these algorithms for industrial and human-interactive mobile robot applications, offering insights into how heuristic-driven approaches can reduce energy consumption during autonomous movement. This research addresses a critical bottleneck in robotics: balancing computational efficiency with real-world power constraints. While still early in their career, with 2 citations on their most-cited paper, Goytia-Luna’s work has laid a foundational framework for future studies in sustainable robotics. Their analysis provides a clear methodology for selecting optimal pathfinding strategies based on energy metrics, a topic of growing importance as autonomous systems become more prevalent in logistics, manufacturing, and service sectors. Goytia-Luna’s research is particularly valuable for students and engineers seeking to integrate energy-aware algorithms into practical robotic systems, bridging the gap between theoretical computer science and applied engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1