---
title: "Model Structuring and Concept Recognition: Two Aspects of Learning for a Mobile Robot"
authors:
  - "Jean-Paul Laumond"
doi: ""
url: "https://ijcai.org/proceedings/1983/202"
pdf: "https://ijcai.org/proceedings/1983/0202.pdf"
venue: "Proceedings of the Eighth International Joint Conference on Artificial Intelligence"
year: 1983
pages: "839-840"
track: "Robotics"
keywords:
---

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

Jean-Paul Laumond

*Proceedings of the Eighth International Joint Conference on Artificial Intelligence*, 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.