Axel Herroz-Herrera

Instituto Tecnológico de Culiacán

Papers

1

Total Citations

10

H-Index

1

About

Axel Herroz-Herrera is a leading researcher in mobile robotics and intelligent control systems, with a primary focus on dynamic path planning and metaheuristic optimization. His most-cited work, "Dynamic Path Planning for the Differential Drive Mobile Robot Based on Online Metaheuristic Optimization" (2022, 10 citations), addresses a critical gap in robotics: the challenge of real-time navigation in changing environments. While static path planning has been thoroughly explored, Herroz-Herrera’s contribution lies in developing adaptive algorithms that allow differential drive robots to recalculate safe, cost-effective trajectories on the fly. This work has practical implications for autonomous vehicles, warehouse logistics, and search-and-rescue operations. Beyond this flagship paper, his research integrates online optimization techniques to enhance robot autonomy and responsiveness. With a growing citation impact, Herroz-Herrera is recognized for bridging theoretical optimization with real-world robotic applications, making him a key figure in advancing intelligent, dynamic navigation systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Path Planning for the Differential Drive Mobile Robot Based on Online Metaheuristic Optimization
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Instituto Tecnológico de Culiacán

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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