Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning

With the continual adoption of Uncrewed Aerial Vehicles (UAVs) across a wide-variety of application spaces, robust aerial manipulation remains a key research challenge. Aerial manipulation tasks require interacting with objects in the environment, often without knowing their dynamical properties lik...

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Bibliographische Detailangaben

Hauptverfasser:	Dimmig, Cora A, Kobilarov, Marin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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