Grant: Strategic Projects - Group
Concordia University
$88,500.00
Distributed control design for multi-agent systems and cooperative robots
EF 2009-10
Résumé
Future civilian and military rescue missions will rely on large, networked groups of small vehicles and sensors operating in dynamic, resource-constrained, adversarial environments. Groups of this type will typically operate with little or no direct human supervision and will be very difficult, if not impossible, to efficiently manage or control by programming or by tele-operation. Management of such large groups will thus be extremely challenging and will require integration of communication, control, computation and sensing, specifically tailored to the command and control of large-scale, autonomously functioning vehicle groups. To address these challenges, we propose to embark on a broadly-based, cross-disciplinary research program in which we will develop and study networked groups of autonomous agents. Our goal is to develop a minimum-time reconfiguration problem which is a matter of grave importance in rescue missions. It is also
desired to develop scalable, provably correct protocols for vision-based distributed coordination of networked group of autonomous agents and cooperative robots. One of the applications of the proposed research is in coordinated disaster relief operation after a natural catastrophe or terrorist attack, by providing a temporary communication network. Another civilian application is in mining industry, where a group of semi-autonomous mobile equipment in a mining environment work
collaboratively to achieve a desirable goal without compromising human safety.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
364892-2008
Name nom
Aghdam, Amir
Department département
Electrical and Computer Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2008
Award amount
88500
Program id
STPGP
Program nane en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1046
Committee name en
Strategic Projects Selection Panel - Safety and Security
Committee name fr
Comité de sélection des projets stratégiques - Sécurité
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2509
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Control systems
Research subject fr
Asservissements
Partie
2
Nb partie
3
Application title
Distributed control design for multi-agent systems and cooperative robots
Keyword
NA
Application summary
Future civilian and military rescue missions will rely on large, networked groups of small vehicles and sensors operating in dynamic, resource-constrained, adversarial environments. Groups of this type will typically operate with little or no direct human supervision and will be very difficult, if not impossible, to efficiently manage or control by programming or by tele-operation. Management of such large groups will thus be extremely challenging and will require integration of communication, control, computation and sensing, specifically tailored to the command and control of large-scale, autonomously functioning vehicle groups. To address these challenges, we propose to embark on a broadly-based, cross-disciplinary research program in which we will develop and study networked groups of autonomous agents. Our goal is to develop a minimum-time reconfiguration problem which is a matter of grave importance in rescue missions. It is also
desired to develop scalable, provably correct protocols for vision-based distributed coordination of networked group of autonomous agents and cooperative robots. One of the applications of the proposed research is in coordinated disaster relief operation after a natural catastrophe or terrorist attack, by providing a temporary communication network. Another civilian application is in mining industry, where a group of semi-autonomous mobile equipment in a mining environment work
collaboratively to achieve a desirable goal without compromising human safety.