DocumentCode :
2253482
Title :
Hybrid State Machines with Timed Synchronization for Multi-Robot System Specification
Author :
Murray, Jan ; Stolzenburg, Frieder
Author_Institution :
AI Res. Group, Univ. Koblenz-Landau, Koblenz
fYear :
2005
fDate :
5-8 Dec. 2005
Firstpage :
236
Lastpage :
241
Abstract :
In multi-robot systems, the need for precise modeling or specification of agent behaviors arises due to the high complexity of the robot agent interactions and the dynamics of the environment. Since the behavior of agents usually can be understood as driven by external events and internal states, it is obvious to model multiagent systems by state transition diagrams. The corresponding formalisms come equipped with a formal semantics which is advantageous. In this paper, a combination of UML statecharts and hybrid automata is proposed, allowing formal system specification on different levels on abstraction on the one hand, and expressing real-time system behavior with continuous variables on the other hand. One important aspect of multi-robot systems is the need of coordination and hence synchronization of behavior. For both, statecharts and hybrid automata, it is assumed that synchronization takes zero time. This is sometimes unrealistic. Therefore, a new notation and implementation of synchronization is proposed here, which overcomes this problem. The proposed method is illustrated with a case study from the robotic soccer domain
Keywords :
Unified Modeling Language; control engineering computing; finite state machines; formal specification; man-machine systems; multi-robot systems; UML statecharts; formal system specification; hybrid automata; hybrid state machines; multiagent systems; multirobot system specification; robot agent interactions; state transition diagrams; timed synchronization; Analytical models; Automata; Equations; Multiagent systems; Multirobot systems; Process design; Robot kinematics; Robotics and automation; Software systems; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial intelligence, 2005. epia 2005. portuguese conference on
Conference_Location :
Covilha
Print_ISBN :
0-7803-9366-X
Electronic_ISBN :
0-7803-9366-X
Type :
conf
DOI :
10.1109/EPIA.2005.341221
Filename :
4145962
Link To Document :
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