Multi-Robot Exploration of an Unknown Environment, Efficiently Reducing the Odometry Error
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Robotics. Pages 1340-1344.
Abstract
This paper deals with the intelligent exploration of an unknown environment by autonomous robots . In particular, we present an algorithm and associated analysis for collaborative exploration using two mobile robots. Our approach is based on robots with range sensors limited by distance. By appropriate behavioural strategies, we show that odometry (motion) errors that would normally present problems for mapping can be severely reduced. Our analysis includes polynomial complexity bounds and a discussion of possible heuristics.
@inproceedings{ijcai1997p193,
title = {Multi-Robot Exploration of an Unknown Environment, Efficiently Reducing the Odometry Error},
author = {Rekleitis, Ioannis M. and Dudek, Gregory and Milios, Evangelos E.},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {1340--1344},
year = {1997},
note = {Robotics},
url = {https://ijcai.org/proceedings/1997/193},
}
TY - CPAPER TI - Multi-Robot Exploration of an Unknown Environment, Efficiently Reducing the Odometry Error AU - Rekleitis, Ioannis M. AU - Dudek, Gregory AU - Milios, Evangelos E. T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 1340 EP - 1344 UR - https://ijcai.org/proceedings/1997/193 ER -Copied
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