Decentralized Hybrid Control Strategies for Autonomous Multi-Agent Swarms

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
DAAE30-02-C-1053
Award Id:
57952
Agency Tracking Number:
A012-2163
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
673G, Alpha Drive, Cleveland, OH, 44143
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
557510336
Principal Investigator:
Ravi Vaidyanathan
Control Engineer
(440) 449-5785
raviv@orbitalresearch.com
Business Contact:
Frederick Lisy
Vice President
(440) 449-5785
lisy@orbitalresearch.com
Research Institute:
n/a
Abstract
"The effective coordination of large groups, or "swarms" of autonomous vehiclesworking collaboratively demands the development of control architectures thatemerge collective intelligence among groups of individuals. Nature, throughevolution and natural selection, has optimized this behavior. Insect societies,in particular, demonstrate an organized "swarm intelligence" beyond the capacityof any individual within their troupe to understand. Although possession of similar capabilities is vital to synergize the performance of multi-agent teams for militarymissions, swarm behaviors cannot be predicted, only observed; resources are needed toevaluate interactions between the entities found in such force structures.In past work, our research group has generated swarm intelligence algorithms mirroringthe capacity of societal insects to emerge collective intelligence. Furthermore, theyhave been successfully interfaced to fabricate a flexible, software system, and a globallyoptimal multi-agent task assignment algorithm. Orbital Research proposes extending thiswork to develop sets of control algorithms that may be configured to direct any swarm ofautonomous agents. Phase I work will: 1) create a multi-agent simulation environment,2) develop dynamic (recursive) control structures for on-line reconfiguration, 3) developcontrol structures to enable optimal prioritization for agents within swarms, 4) simulatethe developed strategies for a candidat

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government