Pablo Flores

Papers

Total Citations

H-Index

About

Pablo Flores is a researcher in autonomous robotics, with a primary focus on multi-robot systems and unmanned aerial vehicle (UAV) swarm navigation. His work addresses critical safety challenges in complex environments, particularly through the development of obstacle detection and avoidance strategies for autonomous swarms. His most cited paper, "Obstacle Avoidance Manager for UAVs Swarm" (2020), has garnered 9 citations and proposes a framework for managing static and dynamic obstacles in real-time, enhancing the reliability of UAV operations in cluttered or unpredictable settings. This contribution is foundational for applications ranging from search-and-rescue to infrastructure inspection, where swarm safety is paramount. Flores’s research bridges the gap between theoretical multi-agent coordination and practical deployment, offering scalable solutions for autonomous systems. His work is particularly notable for its emphasis on real-world robustness, addressing a key bottleneck in the adoption of UAV swarms. As the field of autonomous robotics grows, Flores’s contributions to safe, coordinated navigation remain a valuable reference for researchers and engineers developing next-generation multi-robot systems.