Title :
A multiple objectives optimization approach to robotic teams´ analysis, design and control
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
fDate :
30 Sept.-4 Oct. 2003
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;
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on
Print_ISBN :
0-7803-7958-6
DOI :
10.1109/KIMAS.2003.1245017
