Skip to main content

A 3D Visualization and Simulation Framework for Intelligent Physical Agents

  • Conference paper
Holonic and Multi-Agent Systems for Manufacturing (HoloMAS 2005)

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bollinger, J., et al.: Visionary Manufacturing Challenges for 2020, National Research Council Report. National Academy Press, Washington, D.C (1998)

    Google Scholar 

  2. Colombo, A.W., Martinez Lastra, J.L.: An Approach to Develop Flexible & Collaborative Factory Automation Systems (FLEXCA). In: Proceedings of the 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, pp. 549-554 (2004)

    Google Scholar 

  3. Martinez Lastra, J.L.: Reference Mechatronic Architecture for Actor-based Assembly Systems. Doctoral dissertation No. 484. Tampere University of Technology (2004) ISBN 952-15-1210-5

    Google Scholar 

  4. Mařík, V., Vrba, P., Macurek, F.: Agent-based Solutions for Manufacturing. In: The IEE Control & Automation Professional Network event – Operational Excellence in Consumer Packaged Goods. Cambridge, England (2003)

    Google Scholar 

  5. Mařík, V.: Industrial Application of the Agent-based Technology. In: Proceedings of 11th IFAC Symposium on Information Control Problems in Manufacturing. Salvador do Bahia (2004)

    Google Scholar 

  6. Parunak, V.: Industrial and Practical Applications of DAI. In: Weiss, G. (ed.) Multiagent System A modern approach to distributed artificial intelligence. The MIT Press, Cambridge (1999)

    Google Scholar 

  7. Chung, K., Wu, C.: Dynamic Scheduling with Intelligent Agents: An Application Note. Metra Application Note 105, Metra, Palo Alto, Ca (1997)

    Google Scholar 

  8. Overgaard, L., Petersen, H., Perram, J.: Motion Planning for an Articulated Robot: A Multi-Agent Approach. In: Proceedings of Modeling Autonomous Agent in a Muti-Agent World, Odense University, pp. 171–182 (1994)

    Google Scholar 

  9. Harrison, R., Colombo, A.W.: Collaborative Automation from Rigid Coupling towards Dynamic Reconfigurable Production Systems. In: Proceedings of the 16th IFAC World Congress (2005)

    Google Scholar 

  10. Valckenaers, P.: Tutorial on Multi-agent Manufacturing Control. In: Proceedings of the 1st IEEE International Conference on Industrial Informatics. Banff (2003)

    Google Scholar 

  11. Lopez Torres, E.: Multi Agent-based Configuration and Visualization Tools for ABAS. Master of Science Thesis. Tampere University of Technology (2004)

    Google Scholar 

  12. Zachman, G.: Minimal Hierarchical Collision Detection. Department of computer graphics and virtual reality. University Bonn, Germany (2002)

    Google Scholar 

  13. Eberly, D.: Dynamic Collision using Oriented Bounding Boxes. Magic software Inc. (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lastra, J.L.M., Torres, E.L., Colombo, A.W. (2005). A 3D Visualization and Simulation Framework for Intelligent Physical Agents. In: Mařík, V., William Brennan, R., Pěchouček, M. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2005. Lecture Notes in Computer Science(), vol 3593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11537847_3

Download citation

  • DOI: https://doi.org/10.1007/11537847_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28237-2

  • Online ISBN: 978-3-540-31831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics