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/}
}