Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot

Laumond, Jean-Paul

Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot

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Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Robotics. Pages 839-840.

Abstract

We present here a method for providing a mobile robot with learning capabilities. The method is based on a model of the environment with several hierarchical levels organized by degree of abstraction. The mathematical structuring tool used is the decomposition of a graph into its k-connected components (k=2 and k=3). This structure allows the robot to improve navigation procedures and to recognize some concepts, such as a door, a roo~ or a corridor.

Jean-Paul Laumond. 1983. Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83. IJCAI, 839–840. https://ijcai.org/proceedings/1983/202

@inproceedings{ijcai1983p202,
  title     = {Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot},
  author    = {Laumond, Jean-Paul},
  booktitle = {Proceedings of the Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI-83}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Alan Bundy},
  pages     = {839--840},
  year      = {1983},
  note      = {Robotics},
  url       = {https://ijcai.org/proceedings/1983/202},
}

TY  - CPAPER
TI  - Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot
AU  - Laumond, Jean-Paul
T2  - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1983
SP  - 839
EP  - 840
UR  - https://ijcai.org/proceedings/1983/202
ER  -