Reactive multi-agent system for assembly cell control

Abstract This paper presents a multi-agent system for the control of manufacturing systems. The multi-agent system is designed to provide manufacturing control with three important characteristics: high robustness, quick response and good expandability. A prototype multi-agent-based control system has been developed for a flexible assembly cell as an example. The prototype multi-agent system contains several reactive agents. Each agent acts according to its built-in behaviours, and the behaviours are able to respond to stimuli from the manufacturing environment. A system architecture to implement the multi-agent-based control system is proposed and the coordination model of the reactive agents is developed. The generic agent structure is established for individual reactive agents, and the behaviours and the subsumption architecture of each agent are designed.

[1]  Franco Zambonelli,et al.  MARS: A Programmable Coordination Architecture for Mobile Agents , 2000, IEEE Internet Comput..

[2]  Stefan Bussmann,et al.  A Multi-Agent Approach to Dynamic, Adaptive Scheduling of Material Flow , 1994, MAAMAW.

[3]  Stefano Riemma,et al.  A negotiation scheme for autonomous agents in job shop scheduling , 2002, Int. J. Comput. Integr. Manuf..

[4]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[5]  Agostino Poggi,et al.  Enabling FIPA Agents on Small Devices , 2001, CIA.

[6]  Tn Wong,et al.  An agent-based scheduling system for a flexible assembly cell , 2000 .

[7]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[8]  Y. Zhang,et al.  A multi-agent and distributed ruler based approach to production scheduling of agile manufacturing systems , 2003, Int. J. Comput. Integr. Manuf..

[9]  Teruaki Ito,et al.  Agent-based material handling and inventory planning in warehouse , 2002, J. Intell. Manuf..

[10]  Robert W. Brennan,et al.  Modeling and reconfiguring intelligent holonic manufacturing systems with Internet-based mobile agents , 2003, J. Intell. Manuf..

[11]  Kung-Jeng Wang Negotiation-based multi-stage production control using distributed shortest path algorithm , 2003, Int. J. Comput. Integr. Manuf..

[12]  Hakki Özgür Ünver,et al.  Design and implementation of an agent-based shop floor control system using Windows-DNA , 2002, Int. J. Comput. Integr. Manuf..

[13]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[14]  Jonathan H. Connell,et al.  Minimalist mobile robotics - a colony-style architecture for an artificial creature , 1990, Perspectives in artificial intelligence.

[15]  Shuzi Yang,et al.  Price-Based Negotiation for Task Assignment in a Distributed Network Manufacturing Mode Environment , 2003 .

[16]  Franco Zambonelli,et al.  How to coordinate Internet applications based on mobile agents , 1998, Proceedings Seventh IEEE International Workshop on Enabling Technologies: Infrastucture for Collaborative Enterprises (WET ICE '98) (Cat. No.98TB100253).

[17]  Randall Davis,et al.  Negotiation as a Metaphor for Distributed Problem Solving , 1988, Artif. Intell..

[18]  Tucker R. Balch,et al.  Communication in reactive multiagent robotic systems , 1995, Auton. Robots.

[19]  Didier Anciaux,et al.  Shop-floor control: A multi-agents approach , 2001, Int. J. Comput. Integr. Manuf..

[20]  Kazuo Miyashita,et al.  CAMPS: a constraint-based architecturefor multiagent planning and scheduling , 1998, J. Intell. Manuf..

[21]  Steven A. Melnyk,et al.  Shop Floor Control , 1985 .

[22]  Nicolas Lhuillier,et al.  FOUNDATION FOR INTELLIGENT PHYSICAL AGENTS , 2003 .