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Autonomous Object Manipulation: A Semantic-Driven Approach

Nicola Vitucci
IJCAI 2011 pp. 2858-2859
doi:10.5591/978-1-57735-516-8/IJCAI11-501 /ijcai/2011/vitucci2011ijcai-autonomous/

Abstract

The problem of grasping is widely studied in the robotics community. This project focuses on the identification of object graspable features using images and object structural information. The primary aim is the creation of a framework in which the information gathered by the vision system can be integrated with automatically generated knowledge, modelled by means of fuzzy description logics.

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Text

Vitucci. "Autonomous Object Manipulation: A Semantic-Driven Approach." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-501

Markdown

[Vitucci. "Autonomous Object Manipulation: A Semantic-Driven Approach." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/vitucci2011ijcai-autonomous/) doi:10.5591/978-1-57735-516-8/IJCAI11-501

BibTeX

@inproceedings{vitucci2011ijcai-autonomous,
  title     = {{Autonomous Object Manipulation: A Semantic-Driven Approach}},
  author    = {Vitucci, Nicola},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {2858-2859},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-501},
  url       = {https://mlanthology.org/ijcai/2011/vitucci2011ijcai-autonomous/}
}