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Human Telesupervision of a Fleet of Autonomous Robots for Safe and Efficient Space Exploration

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posted on 2006-01-01, 00:00 authored by Gregg Podnar, John Dolan, Alberto Elfes, Marcel Bergerman, H. Benjamin Brown, Alan D. Guisewite
In January 2004, NASA began a bold enterprise to return to the Moon, and with the technologies and expertise gained, press on to Mars. The underlying Vision for Space Exploration calls for a sustained and affordable human and robotic program to explore the solar system and beyond; to conduct human expeditions to Mars after successfully demonstrating sustained human exploration missions on the Moon. The approach is to “send human and robotic explorers as partners, leveraging the capabilities of each where most useful.” Human-robot interfacing technologies for this approach are required at readiness levels above any available today. In this paper, we describe the HRI aspects of a robot supervision architecture we are developing under NASA’s auspices, based on the authors’ extensive experience with field deployment of ground, underwater, lighter than air, and inspection autonomous and semi-autonomous robotic vehicles and systems.

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Copyright © 2006 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org. © ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction {1-59593-294-1 (2006)} http://doi.acm.org/10.1145/1121241.1121298

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2006-01-01

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