Design of robotic work cells using object-oriented and agent-based approaches

• Autorzy: Sękala A. , Foit K. , Banaś W. , Kost G.
• Języki publikacji: EN

Abstrakty

EN

Purpose: of this paper is to present agent-based and object-oriented approaches in the desingning of robotic work cells. The complexity of elements which form the robotic work cells causes that already at the design stage it is necessary to evolve the models that comply with different aspects of the conformation and principles of the operation of the workcell. Design/methodology/approach: The use of agent-based and object-oriented approaches during the process of robotized workcell's design, allows i.a. to systematize the knowledge about the designed workcell and simplifies the definition and analysis of relationship between its components. Most modern systems CAD/CAM uses object-oriented structure. They do not allow the creation of a direct structure agents. It is therefore necessary to show the relationship between the object and the agent. Findings: The relationship between object-oriented and agent-based model allow to fill the gap between them. Understanding of them could allow more efficient use of existing systems that are decicated for designing of robotic work cells. Research limitations/implications: The presented considerations are only the introduction to the further work on developing these methods for the use during the design process of robotic cell, and clearly do not cover all the issues involved, hence there are also other open issues for future research that could generalize the researches or could be a starting point for a new ones. These problems may concern e.g.: development of appropriate methods of communication and cooperation between the agents or the definition of the new agents that can act autonomously according to their own algorithms. Practical implications: The main objective is to build the base for modular and flexible system that will allow designing of robotic work cells using the methods presented in the paper. Due to high cost of such systems, there is no reason to make it from scratch. The better way is to integrate the existing applications and use the synergetic effect of such approach.

Słowa kluczowe

EN

automation engineering processes; robotic work cells; agent-based approach; object-oriented approach

PL

automatyzacja procesów inżynieryjnych; zautomatyzowane stanowiska pracy; podejście zorientowane agentowo; podejście zorientowane obiektowo

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2015
• Tom: Vol. 73, nr 2
• Strony: 222--228
• Opis fizyczny: Bibliogr. 37 poz., rys.

Twórcy

autor

Sękala A.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Foit K.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Banaś W.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Kost G.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

Bibliografia

• [1] A. Buchacz, Exact and approximate analysis of mechanical and mechatronic systems, Journal of Achievements in Materials and Manufacturing Engineering 33/1 (2009) 47-52.
• [2] E.C. Lee, C.Y. Nian, Y.S. Tarng, Design of a materials processing technologies, Archives of Materials Science and Engineering 28 (2007) 48-56.
• [3] A. Gwiazda, A. Sękala, W. Banaś, Z. Monica, Protection of Hydraulic Systems Against Dynamic Loads Using Multi-Valve Approach, Advanced Materials Research 1036 (2014) 547-552.
• [4] W. Banaś, A. Sękala, Concepts of flexible production line, on the example of robotic cell, Advanced Materials Research 1036 (2014) 749-754.
• [5] A. Dobrzańska-Danikiewicz, The acceptation of the production orders for the realization in the manufacturing assembly systems, Journal of Materials Processing Technology 175/1/3 (2006) 123-132.
• [6] A. Sękala, A. Gwiazda, A. Dobrzańska-Danikiewicz, Model of the e-Manufacturing Environment as the Multiagent System, Applied Mechanics and Materials 657 (2015) 854-858.
• [7] A. Gwiazda, System of designing complex technical means using fuzzy analysis, Applied Mechanics and Materials 474 (2014) 147-152.
• [8] C. Grabowik, W. Janik, The concrete casting matrixes inserts design preparation based on the master models, Advanced Materials Research 702 (2013) 259-262.
• [9] A. Gwiazda, K. Foit, W. Banaś, A. Sękala, Z. Monica, Analysis and optimization of the piston system using CAD/CAE engineering environment. Applied Mechanics and Materials 809/810 (2015) 1127-1132.
• [10] T. Dzitkowski, A. Dymarek, Active reduction of identified machine drive system vibrations in the form of multi-stage gear units, Mechanika 20/1 (2014) 87-91.
• [11] A. Sękala, A. Gwiazda, W. Banaś, Agent-based systems approach for robotic workcell integration, Advanced Materials Research 1036 (2014) 721-725.
• [12] A. Gwiazda, A. Sękala, Z. Monica, Integrated approach to the designing process of complex technical systems, Advanced Material Research 1036 (2014) 1023-1027.
• [13] W. Banaś, A. Sękala, Concepts of flexible production line, on the example of robotic cell, Advanced Materials Research 1036 (2014) 749-754.
• [14] G. Ćwikła, A. Sękala, M. Woźniak, The expert system supporting design of the Manufacturing Information Acquisition System (MIAS) for production management, Advanced Materials Research 1036 (2014) 852-857.
• [15] K. Foit, Mixed reality as a tool supporting programming of the robot, Advanced Materials Research 1036 (2014) 737-742.
• [16] K. Foit, Introduction to solving task-level programming problems in logic programming language, Journal of Achievements in Materials and Manufacturing Engineering 64/2 (2014) 78-84.
• [17] C. Grabowik, W. Janik, The concrete casting matrixes inserts design preparation based on the master models, Advanced Materials Research 702 (2013) 259-262.
• [18] J. Rumbaugh, M. Blaha, W. Premerlani, F. Eddy, W.E. Lorensen, Object-oriented modeling and design Englewood Cliffs, Prentice-Hall, 1991.
• [19] B. Meyer, Object-oriented software construction 2nd ed., Prentice Hall, 1997.
• [20] W.R. Cook, W. Hill, P.S. Canning, Inheritance is not subtyping, Proc. 17th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (1990) 125-135.
• [21] J.N. Pires, J.S. da Costa, Object-oriented and distributed approach for programming robotic manufacturing cells, Robotics and computer-integrated manufacturing 16/1 (2000) 29-42.
• [22] S. Franklin, A. Graesser, Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In Intelligent agents III agent theories, architectures, and languages, Springer Berlin Heidelberg, 1997.
• [23] E. Yu, Agent-oriented modelling: software versus the world, In: Agent-Oriented Software Engineering II Springer Berlin Heidelberg, 2002.
• [24] J. Madejski, Survey of the agent-based approach to intelligent manufacturing, Journal of Achievements in Materials and Manufacturing Engineering 21/1 (2007) 67-70.
• [25] J. Madejski, Agent architecture for intelligent manufacturing systems, Journal of Achievements in Materials and Manufacturing Engineering 29/2 (2008) 167-170.
• [26] J. Madejski, Modelling of the Manufacturing System Objects Interactions, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 167-170.
• [27] P. Ferreira, V. Reyes, J. Mestre, A web-based integration procedure for the development of reconfigurable robotic work-cells, International Journal of Advanced Robotic Systems 10 (2013) 295-304.
• [28] M. Niazi, H. A. Muaz, Agent-based computing: from multi-agent systems to agent-based models. A visual survey, Scientometrics 89/2 (2011) 479-499.
• [29] S. Russell, P. Norvig, Artificial inteligence: a modern approach. Prentice-Hall, New York, 1995.
• [30] M. Wooldridge, An introduction to multi agent systems. Wiley, Chichester, 2002.
• [31] M. Wooldridge, N.R. Jennings, Intelligent agents, theory and practice, Knowledge Engineering Review 10/2 (1995) 115-152.
• [32] S.M. Deen (ed.), Agent based manufacturing. Springer Verlag, Berlin, 2003.
• [33] R. Bergmann, K. Althoff, M. Minor, M. Reichle, K. Bach, Case-Based Reasoning Introduction and Recent Developments, Künstliche Intelligenz 1 (2009) 5-11.
• [34] P. Ociepka, J. Świder, Object-oriented system for computer aiding of the machines conceptual design process, Journal of Materials Processing Technology 157-158 (2004) 221-227.
• [35] A. Aamodt, E. Plaza, Case-based reasoning: foundational issues, methodological variations, and system approaches, AI Communications 7/1 (1994) 39-59.
• [36] S. Srinivasan, J. Singh, V. Kumar, Multi-agent based decision Support System using Data Mining and Case Based Reasoning, International Journal of Computer Science Issues 8/4 (2011) 340-349.
• [37] W. Jacak, Intelligent Robotic Systems: Design, Planning and Control, Kluwer Academic Publisher, 1999.