Autonomous Exploration Using Multiple Sources of Information - Robotics Institute Carnegie Mellon University

Autonomous Exploration Using Multiple Sources of Information

Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, Vol. 3, pp. 3098 - 3103, May, 2001

Abstract

This research enables robot explorers to maximize the total information gained while minimizing costs such as driving, sensing and planning. This paper presents a general methodology for solving complex exploration tasks which employs multiple sources of information. The paper also develops a specific instantiation of the method to solve the exploration problem of creating a complete traversability map of an unknown region. Simulation results showing the solution of this exploration task are included.

BibTeX

@conference{Moorehead-2001-8207,
author = {Stewart Moorehead and Reid Simmons and William (Red) L. Whittaker},
title = {Autonomous Exploration Using Multiple Sources of Information},
booktitle = {Proceedings of (ICRA) International Conference on Robotics and Automation},
year = {2001},
month = {May},
volume = {3},
pages = {3098 - 3103},
}