Map Validation and Self-location in a Graph-like World
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Robotics and Vision. Pages 1648-1652.
Abstract
We present algorithms for the discovery and use of topological maps of an environment by an active agent (such as a person or a mobile robot). We discuss several issues dealing with the use of pre-existing topological maps of graph-like worlds by an autonomous robot and present algorithms, worst cases complexity, and experimental results (for representative real-world examples} for two key problems. The first of these problems is to verify that a given input map is a correct description of the world (the VALIDATION PROBLEM} . The second is to determine the robot's physical position on an input map (THE SELF-LOCATION PROBLEM)' We present algorithms which require O(N ) and O(N 3 ) steps to validate and locate the robot in a map (where N is the number of places in the map).
@inproceedings{ijcai1993p228,
title = {Map Validation and Self-location in a Graph-like World},
author = {Dudek, Gregory and Jenkin, Michael R. M. and Milios, Evangelos E. and Wilkes, David},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1648--1652},
year = {1993},
note = {Robotics and Vision},
url = {https://ijcai.org/proceedings/1993/228},
}
TY - CPAPER TI - Map Validation and Self-location in a Graph-like World AU - Dudek, Gregory AU - Jenkin, Michael R. M. AU - Milios, Evangelos E. AU - Wilkes, David T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1648 EP - 1652 UR - https://ijcai.org/proceedings/1993/228 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: