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Learning better generative models for dexterous, single-view grasping of
  novel objects

Learning better generative models for dexterous, single-view grasping of novel objects

13 July 2019
Marek Kopicki
D. Belter
J. Wyatt
ArXivPDFHTML

Papers citing "Learning better generative models for dexterous, single-view grasping of novel objects"

4 / 4 papers shown
Title
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision
  and Touch
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch
Martin Matak
Tucker Hermans
21
14
0
16 Dec 2022
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Wei Wei
Daheng Li
Peng Wang
Yiming Li
Wanyi Li
Yongkang Luo
Jun Zhong
23
48
0
21 Nov 2022
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
D. Fox
Akansel Cosgun
34
162
0
06 Jul 2022
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
17
12
0
18 Mar 2020
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