Gustavo Velasco-Hernandez

Munster Technological University, Universidad del Valle

Papers

Total Citations

H-Index

About

Gustavo Velasco-Hernandez is a leading researcher in autonomous mobile robotics, with a primary focus on enabling robots to navigate reliably in both structured and unstructured environments. His work addresses the fundamental challenge of spatial intelligence, developing systems that allow robots to build internal representations of their surroundings using recognizable landmarks and robust visual processing. Velasco-Hernandez’s most impactful contribution is his 2019 paper on autonomous navigation in factory settings, which has garnered 54 citations and provides a foundational framework for integrating mobile robots into industrial IoT ecosystems. He has also advanced the field through a comprehensive review of adaptive multimodal localisation techniques, a paper with 21 citations that explores how robots can extend sensing capabilities to remote, sensor-poor environments. Earlier in his career, he demonstrated practical implementation skills by applying classical path planning algorithms—such as Voronoi diagrams and visibility graphs—on a Pioneer 3DX platform using global vision. This combination of theoretical depth and hands-on experimentation makes his work essential reading for students and researchers interested in the real-world deployment of autonomous systems in manufacturing, logistics, and beyond.