Plug-n-Play Reasoning Components Enabling Team Formation Among Autonomous Agents

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$70,000.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
NAS2-02025
Agency Tracking Number:
013088
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Intelligent Automation, Inc.
7519 Standish Place, Suite 200, Rockville, MD, 20855
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Goutam Satapathy
Senior Scientist
(301) 222-0444
goutam@i-a-i.com
Business Contact:
Mr. Toplin
Director of Contracts
(301) 222-0444
mtoplin@i-a-i.com
Research Institution:
n/a
Abstract
In this SBIR Phase I project, we are proposing a capability for the human operators to control the level of decision-making autonomy assigned to the robotic agents performing space or planet exploration, while encouraging team behavior among them. The level of autonomy is governed by a set of reasoning components or objects that interpret the incoming messages (e.g., task directive, request for information etc.) of a robotic agent. By replacing these components called role objects, the agent's planning autonomy can be altered to a level that requires human intervention to certain degree. This approach is efficient than the human operators adding and replacing the generated tasks after the planning in order to change the agent's plan. Reasoning components are formalized based on peer-to-peer relationships (e.g., trust, dependability and authority). These relationship parameters can be updated with time encouraging team behavior as orthogonal to controlling agents' autonomy behavior. Having plug-n-play reasoning components in the agent's planning layer or task sequencer/executor are also appropriate within the context of NASA's 3T architecture for autonomous control of robotic agents.

* information listed above is at the time of submission.

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