Anytime Summarization for Remote Robot Operations

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$124,849.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
NNX12CG04P
Award Id:
n/a
Agency Tracking Number:
110078
Solicitation Year:
2011
Solicitation Topic Code:
T1.03
Solicitation Number:
n/a
Small Business Information
TX, San Antonio, TX, 78216-6363
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
193786014
Principal Investigator:
Debra Schreckenghost
Principal Investigator
(281) 461-7886
schreck@traclabs.com
Business Contact:
David Kortenkamp
President
(281) 461-7886
korten@traclabs.com
Research Institution:
Brigham Young University
Gene Larson
A-285 ASB
Provo, UT, 84602-1231
() -
Domestic nonprofit research organization
Abstract
NASA plans to use intelligent planetary rovers to improve the productivity and safety of human explorers. A key challenge in using robots to support human exploration is orienting remote personnel about robot operations as latency and communication constraints make real-time monitoring impractical. Communication bandwidth will be limited, making it essential to downlink important information early. Periods with no communication will require ground operations to catch up quickly when communication resumes. Consequently ground operators can no longer rely on eyes-on monitoring to orient them about robot performance and progress on mission objectives. Summary measures are needed to identify what progress the robot has made and, when progress is impeded, to indicate what went wrong. Trending measures also are needed that determine how well robotic assets are being utilized and identify opportunities to improve robot productivity. TRACLabs and Brigham Young University propose to develop software for anytime summarization that orients remote personnel quickly about rover operations performed without continuous, high bandwidth communication. An anytime summary will characterize progress on robot operations using whatever data has been downlinked when the summary request is made. It will compute performance measures that give an overview of robot mission success and the efficiency and effectiveness of robot operations, and will provide a launch point for interactive exploration of performance data. Because the quality of an anytime summary is affected by the latency in data availability for ground processing, we will investigate what summary information should be pre-computed by the robot, and the preferred order in which information should be downlinked. During Phase I we will design and prototype software for anytime summarization. We will evaluate this design for use in rover operations using NASA IRG robots. Phase I will produce a design for implementation in Phase II.

* information listed above is at the time of submission.

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