Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot
Abstract
The problem of autonomous learning of affordances typically requires a robot to learn the types of changes it can induce and detect in its environment (Sahin et al. 2007; Sinapov & Stoytchev 2007). In sufficiently complex environments,
Cite
Text
Sinapov and Stoytchev. "Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot." AAAI Conference on Artificial Intelligence, 2008.Markdown
[Sinapov and Stoytchev. "Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/sinapov2008aaai-autonomous/)BibTeX
@inproceedings{sinapov2008aaai-autonomous,
title = {{Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot}},
author = {Sinapov, Jivko and Stoytchev, Alexander},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2008},
pages = {1828-1829},
url = {https://mlanthology.org/aaai/2008/sinapov2008aaai-autonomous/}
}