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Autonomous Exploration Using Multiple Sources of Information

Stewart Moorehead, Reid Simmons, and William (Red) L. Whittaker
IEEE International Conference on Robotics and Automation, May, 2001.


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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.

Notes

Text Reference
Stewart Moorehead, Reid Simmons, and William (Red) L. Whittaker, "Autonomous Exploration Using Multiple Sources of Information," IEEE International Conference on Robotics and Automation, May, 2001.

BibTeX Reference
@inproceedings{Moorehead_2001_3501,
   author = "Stewart Moorehead and Reid Simmons and William (Red) L. Whittaker",
   title = "Autonomous Exploration Using Multiple Sources of Information",
   booktitle = "IEEE International Conference on Robotics and Automation",
   month = "May",
   year = "2001",
}

The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
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