We propose a flexible hierarchical navigation stack for a mobile robot in complex dynamic environments. Addressing the growing need for reliable navigation in real-world scenarios, where dynamic agents and environmental uncertainties pose significant challenges, our solution decomposes this complexity into task planning, navigation, control, and safe velocity components. In contrast to the prior art, our system at every level incorporates diverse contextual information about the environment, anticipates navigation risks and proactively avoids collisions with dynamic agents.

DARKO-Nav: Hierarchical Risk- and Context-aware Robot Navigation in Complex Intralogistic Environments

N. Bellotto;
2025

Abstract

We propose a flexible hierarchical navigation stack for a mobile robot in complex dynamic environments. Addressing the growing need for reliable navigation in real-world scenarios, where dynamic agents and environmental uncertainties pose significant challenges, our solution decomposes this complexity into task planning, navigation, control, and safe velocity components. In contrast to the prior art, our system at every level incorporates diverse contextual information about the environment, anticipates navigation risks and proactively avoids collisions with dynamic agents.
2025
European Robotics Forum 2025
16th European Robotics Forum, ERF 2025
9783031894701
   Dynamic Agile Production Robots That Learn and Optimise Knowledge and Operations
   DARKO
   European Commission
   Horizon 2020 Framework Programme
   101017274
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3549114
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