← Search

Lorenzo Cano

2 accepted papers

2024

Procedural generation of tunnel networks for unsupervised training and testing in underground applications

IROS 2024poster

Developing a robotic application requires thorough testing of the complete system to ensure its reliability. However, depending on the target environment, real-life testing can be difficult to carry out, which favors simulations. Also, some techniques like those based on machine learning, may requir…

Cited by 1SourceScholar
2022

Navigating underground environments using simple topological representations

IROS 2022poster

Underground environments are some of the most challenging for autonomous navigation. The long, featureless corridors, loose and slippery soils, bad illumination and unavailability of global localization make many traditional approaches struggle. In this work, a topological-based navigation system is…

Cited by 7SourceScholar