Learning to Singulate Objects using a Push Proposal Network

Learning to act in unstructured environments, such as cluttered piles of objects, poses a substantial challenge for manipulation robots. We present a novel neural network-based approach that separates unknown objects in clutter by selecting favourable push actions. Our network is trained from data c...

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Hauptverfasser:	Eitel, Andreas, Hauff, Nico, Burgard, Wolfram
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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