Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information

We improve reliable, long-horizon, goal-directed navigation in partially-mapped environments by using non-locally available information to predict the goodness of temporally-extended actions that enter unseen space. Making predictions about where to navigate in general requires non-local information...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Raihan Islam Arnob, Stein, Gregory J
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Robotics Floorplans Graph neural networks Learning Navigation Uncertainty
Online-Zugang:	Volltext
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