Year: 2019
Type: article
Abstract: Affordances denote actions that can be performed in the presence of different objects, or possibility of action in an environment.In robotic systems, affordances and actions may suffer from poor semantic generalization capabilities due to the high amount of required hand-crafted specifications.To alleviate this issue, we propose a method to mine for object-action pairs in free text corpora, successively training and evaluating different prediction models of affordance based on word embeddings.
Authors: Michele Persiani, Thomas Hellström
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2980985281