Industrial and practical applications of DAI
Multiagent systems
Motion Planning for an Articulated Robot: A Multi-Agent Approach
MAAMAW '94 Proceedings of the 6th European Workshop on Modelling Autonomous Agents: Distributed Software Agents and Applications
Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Usability of Multi-agent Based Control Systems in Industrial Automation
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Hi-index | 0.01 |
MAS (Multi-Agent Systems) and HMS (Holonic Manufacturing Systems) are enabling the vision of the Plug & Play Factory and paving the way for future autonomous production systems. Previous research activities and pilot implementations reported the FIPA (Foundation for Intelligent Physical Agents) set of standards as a facilitator for the interoperation of heterogeneous agents in manufacturing control and planning. One of the current challenges for the design and implementation of intelligent agents is the simulation and visualization of the agent societies. This issue is significant as soon as the software agent is embedded into a mechatronic device or machine resulting in a physical intelligent agent with 3D-mechanical restrictions. This paper provides a review of the current software tools for the simulation and visualization of MAS in industrial applications and presents a software suite for the three-dimensional creation, simulation and visualization of agent societies. The documented research describes the methodology for the 3D representation of individual agents, the related identified objects present in the interaction protocols, and the assembly features and clustering algorithms. Finally, the paper describes how to capitalize the 3D information for controlling and planning of industrial assembly operations.