A multiple objectives optimization approach to robotic teams´ analysis, design and control

Author

Guez, Allon

Author_Institution

Drexel Univ., Philadelphia, PA, USA

fYear

2003

fDate

30 Sept.-4 Oct. 2003

Firstpage

31

Lastpage

34

Abstract

An optimization approach to distributed intelligent system design and control is presented. It is expected to enhance the autonomous decision-making capabilities of subsystems. It is applicable to autonomous multiple agents homogeneous or heterogeneous clusters, when they must collaborate to achieve a common goal, acting in a coordinated manner that will provide situation awareness, collision avoidance and operations in complex environment and degraded communications or sensors failures.

Keywords

collision avoidance; decision making; multi-agent systems; optimisation; robots; autonomous decision-making; collision avoidance; complex environment; degraded communication; distributed intelligent system design; heterogeneous cluster; homogeneous cluster; multiple agents; optimization approach; sensors failure; situation awareness; Collaboration; Collision avoidance; Control systems; Decision making; Degradation; Design optimization; Intelligent robots; Intelligent systems; Robot kinematics; System analysis and design;

fLanguage

English

Publisher

ieee

Conference_Titel

Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on

Print_ISBN

0-7803-7958-6

Type

conf

DOI

10.1109/KIMAS.2003.1245017

Filename

1245017