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Tytuł artykułu

Software Agent Systems for Improving Performance of Multi-Robot Groups

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Agent paradigm is becoming more and more popular in design of complex multi-robot systems. Similarities between features attributed to robots and agents lead to defining an agent as a single robot control program or even calling a robot an "embodied agents". This approach can cause serious issues concerning scalability, extensibility and performance of large-scale multirobot systems. In this paper a different approach to design and implementation of software systems managing mobile robots is presented. It is based on the logical separation of a hardware robot and a software agent. The paper focuses on improvements in system performance achieved by using the approach. Three exemplary applications are described and experimental results are provided.
Słowa kluczowe
Wydawca
Rocznik
Strony
103--117
Opis fizyczny
Bibliogr. 22 poz., wykr.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, Krakow, Poland, wojciech.turek@agh.edu.pl
Bibliografia
  • [1] Bodin, E.V., Garanina, N.O., Shilov, N.V.: Multiagent approach to a Dijkstra problem. Proc. of the Concurrency, Specification and Programming, Informatik-Berichte 237(2), Humboldt University, Berlin, 2010. ISSN: 0863-095X, s 73-84.
  • [2] Farinelli, A., Iocchi, L., Nardi, D.: Multirobot systems: a classification focused on coordination. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 34 (5), 2004, s. 2015-2028.
  • [3] International Organization for Standardization, ISO/IEC 9126-1:2001, http://www.iso.org/iso/iso catalogue/catalogue tc/catalogue detail.htm?csnumber=22749, 2010.
  • [4] Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi-Agent Systems, 1, 1998, p. 7-38.
  • [5] Russel, S. J., Norvig, P.: Artificial Intelligence. A Modern Approach. Chapter 25. Robotics. Second Edition. Pearson Education Inc. 2003. ISBN 0-13-790395-2.
  • [6] Ambroszkiewicz, S., Cetnarowicz, K.: On the concept of agent in multi-robot environment. Innovative Concepts for Autonomic and Agent-Based Systems. Lecture Notes in Computer Science, vol. 3825, 2006, p. 135-146.
  • [7] Spero, D. J.: A review of outdoor robotics research. Technical Report MECSE-17-2004, Department of Electrical and Computer Systems Engineering,Monash University,Melbourne, Australia, 2004.
  • [8] Turek, W.: Extensible Multi-Robot System. Innovative Concepts for Autonomic and Agent-Based Systems. Springer LNCS 5103, 2008, p. 574-583.
  • [9] Turek,W.: Scalable Navigation SystemforMobile Robots Based on the AgentDual-Space Control Paradigm. Proc. of International Conference and Workshop on Emerging Trends in Technology,Mumbai, Maharashtra, India, 2010, p. 606-612.
  • [10] Burkhard, H. D.: Agent Oriented Techniques for Programming Autonomous Robots. Proc. of 18th Concurrency, Specification and Programming Workshop, Krakow, Poland, 2009, p. 96-107.
  • [11] Mataric, M.J., Nilsson, M., Simsarin, K.T.: Cooperative multi-robot box-pushing. Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Pittsburgh, PA, USA, 1995, p. 556-561.
  • [12] Specification of the FIRA MiroSot league. http://www.fira.net/, 2010.
  • [13] Cassandras, C., Lafortune, S.: Introduction to Discrete Event Systems, Second Edition. Springer Science+Business Media, 2008. ISBN 978-0-387-33332-8.
  • [14] Zieliski, C.: Specification of behavioural embodied agents. Proc. of Fourth InternationalWorkshop on Robot Motion and Control, 2004, p. 79-84.
  • [15] Ambroszkiewicz, S., Borkowski, A,, Cetnarowicz, K., Turek, W.: Adaptive Bilayer Control of Multiple Mobile Robots. Proc. of 16th International Symposium onMeasurements and Control in Robotics.Warszawa, Poland, 2007, p. 31-50.
  • [16] Gerkey, B.P.,Mataric,M.J.: Pusher-watcher: an approach to fault-tolerant tightly-coupled robot coordination. Procs. of IEEE International Conference on Robotics and Automation, 1, 2002, s. 464-469.
  • [17] Cetnarowicz, K.: From Algorithm to Agent. Springer LNCS 5545, 2009, p. 825-834.
  • [18] Parker, L.: ALLIANCE: An Architecture for Fault TolerantMulti-Robot Cooperation. IEEE Transactions on Robotics and Automation, 14, 1998, s. 220-240.
  • [19] Turek, W., Marcjan, R., Cetnarowicz, K.: A Universal Tool for Multirobot System Simulation. Knowledge-Driven Computing, Springer Berlin-Heidelberg, 2008, pages 289-303.
  • [20] Bellifemine, F., Poggi, A., Rimassa, G.: JADE - A FIPA-compliant agent framework. Proc. of PAAM'99, London, UK, 1999, p. 97-108.
  • [21] Dechter, R., Pearl, J.: Generalized best-first search strategies and the optimality of A*. Journal of the ACM. 32 (3), 1985, p. 505-536.
  • [22] Goldberg, D., Mataric, M.: Design and Evaluation of Robust Behavior-Based Controllers for Distributed Multi-Robot Collection Tasks. Robot Teams: From Diversity to Polymorphism, 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0022-0051
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