Deep Learning Approaches to Grasp Synthesis: A Review

Grasping is the process of picking up an object by applying forces and torques at a set of contacts. Recent advances in deep learning methods have allowed rapid progress in robotic object grasping. In this systematic review, we surveyed the publications over the last decade, with a particular intere...

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Vydané v:	IEEE transactions on robotics Ročník 39; číslo 5; s. 1 - 22
Hlavní autori:	Newbury, Rhys, Gu, Morris, Chumbley, Lachlan, Mousavian, Arsalan, Eppner, Clemens, Leitner, Jurgen, Bohg, Jeannette, Morales, Antonio, Asfour, Tamim, Kragic, Danica, Fox, Dieter, Cosgun, Akansel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Deep learning deep learning in robotics and automation Dexterous manipulation End effectors Force Grasping Grasping (robotics) Grippers perception for grasping and manipulation Shape Systematics Task analysis
ISSN:	1552-3098, 1941-0468, 1941-0468
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