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Marco Vannucci

1 accepted papers

2022

GNGraph: Self-Organizing Maps for Autonomous Aerial Vehicle Planning

RA-L 2022

The present letter tackles the problem of planning a collision-free path in a known environment from a general point of view. We address the problem by using an unsupervised learning algorithm to generate a sparse graph representing the topological structure of the environment and use it for plannin

Cited by 6SourceScholar