Natural landmark based navigation

Authors:
E. Lazkano;A. Astigarraga;B. Sierra;J. M. Martínez-Otzeta;I. Rañó
Affiliations:
Dept of Computer Science and Artificial Intelligence, University of the Basque Country;Dept of Computer Science and Artificial Intelligence, University of the Basque Country;Dept of Computer Science and Artificial Intelligence, University of the Basque Country;Dept of Computer Science and Artificial Intelligence, University of the Basque Country;Dept of Computer Science and Artificial Intelligence, University of the Basque Country
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

Citing 9
Cited 0

Qualitative navigation for mobile robots

Artificial Intelligence
Learning to select useful landmarks

AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Learning metric-topological maps for indoor mobile robot navigation

Artificial Intelligence
An Behavior-based Robotics

An Behavior-based Robotics
Navigating Mobile Robots: Systems and Techniques

Navigating Mobile Robots: Systems and Techniques
A novel visual landmark matching for a biologically inspired homing

Pattern Recognition Letters
Active Perception

Active Perception
Visual Recognition of Workspace Landmarks for Topological Navigation

Autonomous Robots
The dynamics of action selection

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

The work described in this paper presents a goal oriented navigation system in a behavior-based manner The main contributions are, in first place the in-depth study of local navigation strategies and, on the other hand, the use of natural landmarks, namely corridors and emergency exit panels Eliminating the centralized control of modules the system performs the task as a result of the combination of many relatively simple and light weight behaviors that run concurrently.