Ignacio Algredo‐Badillo

National Institute of Astrophysics, Optics and Electronics

Papers

Total Citations

H-Index

About

Ignacio Algredo-Badillo is a researcher whose work sits at the intersection of robotics, artificial intelligence, and industrial safety systems. His research focuses primarily on autonomous mobile robotics, with particular emphasis on developing intelligent reactive systems capable of navigating complex environments. His most recognized contribution, "Reactive Obstacle-Avoidance Systems for Wheeled Mobile Robots Based on Artificial Intelligence" (2021), has garnered significant attention with citations reaching into double digits across its iterations, demonstrating the growing community interest in AI-driven navigation solutions. In this work, Algredo-Badillo explores sensor-based environmental perception and intelligent decision-making frameworks that enable robots to detect and avoid obstacles in real time. Beyond navigation, his research extends into critical industrial applications. His work on mobile robots equipped with failure inspection systems for ferromagnetic structures employs the magnetic memory method to detect flaws and cracks in oil and gas pipelines — a contribution with meaningful implications for industrial safety and non-destructive testing (NDT). This cross-disciplinary approach, blending robotics with structural health monitoring, reflects the practical, solutions-oriented nature of his research agenda. For students and researchers in autonomous systems and smart robotics, Algredo-Badillo's work offers valuable frameworks bridging theoretical AI with real-world engineering challenges.