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Supervised Training of Dense Object Nets using Optimal Descriptors for
  Industrial Robotic Applications

Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications

16 February 2021
A. Kupcsik
Markus Spies
Alexander Klein
M. Todescato
Nicolai Waniek
Philipp Schillinger
Mathias Buerger
ArXivPDFHTML

Papers citing "Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications"

4 / 4 papers shown
Title
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for
  Flexible Manufacturing
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
Leonel Rozo
A. Kupcsik
Philipp Schillinger
Meng Guo
R. Krug
...
Patrick Kesper
Sabrina Hoppe
Hanna Ziesche
M. Burger
Kai O. Arras
38
5
0
20 Apr 2023
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation
Hoang-Giang Cao
Weihao Zeng
I-Chen Wu
35
3
0
18 Apr 2023
Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
35
6
0
12 Sep 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object
  Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
48
7
0
24 Jun 2022
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