Arturo G. Roa-Borbolla

Universidad Veracruzana, Instituto Tecnológico Superior de Xalapa

Papers

Total Citations

H-Index

About

Arturo G. Roa-Borbolla is a researcher focused on advancing autonomous mobile robotics, particularly for critical applications in search and rescue and hazardous environment exploration. His work centers on developing intelligent navigation and path-planning algorithms that enable robots to operate efficiently in dangerous, unstructured settings, thereby reducing human risk. A key contribution is his 2017 paper on priority exploration strategies for search and rescue, which has garnered 6 citations for its practical approach to optimizing victim discovery time. He has also contributed to the field of simulation and testing, comparing algorithms like A* and PRM for indoor fire scenarios (4 citations) and designing a realistic, automatic map generator for mobile robots (3 citations). These tools are vital for profiling and validating new robotic algorithms in safe, cost-effective simulated environments. Roa-Borbolla’s work bridges the gap between theoretical algorithm development and real-world deployment, offering essential methodologies for creating more resilient and autonomous rescue robots. His research is particularly valuable for students and engineers seeking to understand how simulation and intelligent pathfinding can save lives in disaster response.