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Learning to Switch CNNs with Model Agnostic Meta Learning for Fine
  Precision Visual Servoing

Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
9 July 2020
Prem Raj
Vinay P. Namboodiri
Laxmidhar Behera
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing"

2 / 2 papers shown
Title
Bin-picking of novel objects through category-agnostic-segmentation: RGB
  matters
Bin-picking of novel objects through category-agnostic-segmentation: RGB matters
Prem Raj
S. Bhadang
Gaurav Chaudhary
Laxmidhar Behera
Tushar Sandhan
162
2
0
27 Dec 2023
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide
  Task Spaces
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task SpacesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Eugene Valassakis
Norman Di Palo
Edward Johns
217
18
0
24 May 2021
1