Robot learning of symbol grounding in multiple contexts
Title: |
Robot learning of symbol grounding in multiple contexts |
DNr: |
Berzelius-2022-158 |
Project Type: |
LiU Berzelius |
Principal Investigator: |
Mohamadreza Faridghasemnia <mohamadreza.farid@oru.se> |
Affiliation: |
Örebro universitet |
Duration: |
2022-08-08 – 2023-03-01 |
Classification: |
10201 |
Keywords: |
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Abstract
One of the basic requirements of symbol grounding is that a robot has to recognize objects and their visual properties in an image. I am a WASP AIML Ph.D. student planning to use Berzelius to train a neural network capable of detecting objects and their visual attributes. I plan to use Berzelius to train a model of TensorFlow for a dataset of around 100k images (10gb compressed, almost the same as the visual genome dataset), with about 3000 classes to learn.