A Deep Learning Approach to Grasping the Invisible

We study an emerging problem named "grasping the invisible" in robotic manipulation, in which a robot is tasked to grasp an initially invisible target object via a sequence of pushing and grasping actions. In this problem, pushes are needed to search for the target and rearrange cluttered...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE robotics and automation letters Jg. 5; H. 2; S. 2231 - 2238
Hauptverfasser:	Yang, Yang, Liang, Hengyue, Choi, Changhyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classifiers Clutter computer vision for automation Deep learning deep learning in robotics and automation Dexterous manipulation Grasping (robotics) Machine learning Pushing Robots Visual observation
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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