On the Design of a Control Architecture for an Autonomous Mobile Robot

  • E. Pereira da Silva
  • F. Lobo Pereira
  • J. Borges Sousa
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 18)


In this chapter we present a model of a hierarchic control architecture for Autonomous Mobile Robots (AMR) as well as its use in the design of an autonomous wheeled mobile platform for transportation in an industrial environment. This model results from successive incremental refinements consolidated over the years with the experience accumulated in a number of R&D projects (e.g., [1], [2]) with special emphasis for the NATO funded PO-Robot project [3].


Mobile Robot Intelligent Machine Control Architecture Functional Layer Autonomous Mobile Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Pascoal, A. Bjerrun, A. and Coudeville, M,: “MARIUS: An Autonomous Underwater Vehicle for Environmental Surveying”, Procs. of the MAST and Euromar Market, CEC, Brussels, Belgium, 1993, pp. 764-758.Google Scholar
  2. 2.
    Sousa, J. Borges, Pereira, F. Lobo and Silva, E. Pereira: “A Dynamically Configurable Architecture for the Control of an AUV”, Procs. of the OCEANS 94 Conf., Brest, France, Sept., 1994, pp 131–136.Google Scholar
  3. 3.
    Silva, E. Pereira, Sousa, J. Borges, Pereira, F. Lobo, Sequeira, J. and Ribeiro, I.: “On the Design of the Po-Robot System”, Procs. of the IEEE Intelligent Vehicles Symposium 94, Paris, France, 1994.Google Scholar
  4. 4.
    Sousa, J. Borges, Pereira, F. Lobo and Silva, E. Pereira: “Software Architectures for Autonomous Vehicles: Survey”, Workshop AUVs, Porto, Portugal, Sept. 93.Google Scholar
  5. 5.
    Harmon, S. Y.: “Architectures: Designers versus Implementors”, in Procs. of the Workshop On Architectures for Intelligent Control Systems, IEEE Int. Conf. on Robotics and Automation, Nice, France, May 1992, pp.1–6.Google Scholar
  6. 6.
    Chatila, R. Alami, Degallaix and H. Haruelle: “Integrated Planning and Execution Control of Autonomous Robot Actions”, Procs. IEEE Int. Conf. on Rob. & Autom., Nice, France, 1992.Google Scholar
  7. 7.
    Saridis, G., Graham, J.: “Linguistic Decision Schemata for Intelligent Robots,” Automatica, vol. 20, n° 1, 1984, pp.12–126.CrossRefGoogle Scholar
  8. 8.
    Heninger, K.: “Specifying Software Requirements for Complex Systems: New techniques and their applications”, IEEE Trans. Soft. Eng., vol. SE-6, n° 1, Jan. 1980, pp.2–12.CrossRefGoogle Scholar
  9. 9.
    Pressman, R.: Software Engineering: A Practitioner's Approach, Macgraw-Hill Int. Editions, 1992.Google Scholar
  10. 10.
    IEEE P1220 Trial-and-Use Standard for Systems Engineering, IEEE Standards Dept.,NY, 1994.Google Scholar
  11. 11.
    Simon, D., Espiau, B., Castillo, C., Kapellos, K.: “Computer-Aided Design of a Generic Robot Controller Handling Reactivity and Real-Time Control Issues”, IEEE Trans. on Control Systems Technology, vol. 1, n°4, Dec. 1993, pp. 213–229.CrossRefGoogle Scholar
  12. 12.
    Simon, D., Kapellos, K.., Espiau, B.: “Formal Verification of Mission and Tasks Application to Underwater Robotics”, pre-print, Workshop on Hybrid Systems, Grenoble, France, Sept. 1995.Google Scholar
  13. 13.
    Ying, Z.: “A Foundation for the Design and Analysis of Robotic Systems and Behaviours”, PhD thesis, British Columbia University, Sept. 1994.Google Scholar
  14. 14.
    Antsaklis, P.: “Final Report of the Task Force on Intelligent Control, Technical Committee on Intelligent Control”, IEEE Control Systems Society, December 1993.Google Scholar
  15. 15.
    Henzinger, T., Manna, Z., and Pnueli, A.: “Towards Refining Temporal Specifications into Hybrid Systems”, in: Hybrid Systems, Grossman, R., Nerode, A., Ravn, A., and Rischel, H., eds., Lect. Notes in Comp. Sci. n° 736, Springer Verlag, 1993, pp.60–76.Google Scholar
  16. 16.
    Henzinger, T., Ho, P.: “Model Checking Strategies for Linear Hybrid Systems”, 7th Int. Conf. Indust. & Eng. Applic. of A.I. & Expert Syst., Austin, TX, May 1994.Google Scholar
  17. 17.
    Ravn, A., Rischel, H., Hansen, K.: “Specifying and Verifying Requirements for Real-Time Systems”, IEEE Trans. Soft. Eng., vol.18, N°1, Jan. 1993, pp.41–55.CrossRefGoogle Scholar
  18. 18.
    Samson, C, Espiau, B., Le Borge, M.: “Robot Control: The Task Function Approach”, Oxford University Press, 1990.Google Scholar
  19. 19.
    Alur, R., Courcoubetis, C., Henzinger, T. and Ho, P.: “Hybrid Automata: An Algorithm Approach to the Specification and Verification of Hybrid Systems”, Hybrid Systems, R. Grossman, A. Nerode, R. Ravn and H. Rischel eds., Lect. Notes in Comp. Sci. n° 736, Springer Verlag, 1993, pp.209–229.Google Scholar
  20. 20.
    Espiau, B., Simon, D., Kapellos, K..: “Formal Verification of Missions and Tasks”, pre-print, INRIA, 1995.Google Scholar
  21. 21.
    Albus J.: “Outline for a Theory of Intelligence,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 21, n°. 3, pp. 473–509, May/June 1991.MathSciNetCrossRefGoogle Scholar
  22. 22.
    Albus, J.: “System Description and Design Architecture for Multiple Autonomous Undersea Vehicles”, NIST Tech. Note 1251, Washington, DC, Sept., 1988.Google Scholar
  23. 23.
    Albus, J., Quintero R.: “Towards a Reference Model Architecture for Real-Time Intelligent Control Systems (ARTICS)”, Robotics and Manufacturing, New York, ASME, vol.3, 1990.Google Scholar
  24. 24.
    Saridis, G.: “Foundation of the Theory on Intelligent Control,” Procs. IEEE Workshop on Intelligent Control, Rensselaer Polytechnique Institute, Troy, N.Y. 1985, pp.23–28.Google Scholar
  25. 25.
    Saridis, G.: “Analytic Formulation of the Principle of Increasing Intelligent with Decreasing Precision for Intelligent Machines,” Automatica, Vol. 25, n°. 3, pp.461–467, 1989.zbMATHCrossRefGoogle Scholar
  26. 26.
    Wang, F., Saridis G.: “A Coordination Theory for Intelligent Machines”, Automatica, Vol. 20, N° 5, 1990, pp.833–844.CrossRefGoogle Scholar
  27. 27.
    Wang, F., Kyriakopoulos, K., A. Tsolkas and G. Saridis.: “A Petri-net for an Intelligent Mobile Robot”, IEEE Trans. on Systems, Man and Cybernetics, Vol. 21, No. 4, July/August 1991, pp.777–789.CrossRefGoogle Scholar
  28. 28.
    Lima, P.: “Feedback-Based Performance Improvement of Intelligent Control Systems”, Procs. Int. URIC Program Development, US/Portugal Workshop, March, 2-3, 1995, pp.105–110.Google Scholar
  29. 29.
    Chatila, R., Ingrand, F. and Alami, R.: “Mission Planning and Execution Control for Intervention Robots”, Procs. of the International Program Development in Undersea Robotics & Intelligent Control — a joint US/Portugal Workshop, March, 2-3, 1995, Lisboa, Portugal, pp.38–43.Google Scholar
  30. 30.
    Giralt, G., Sobek, R. P., Chatila, R.: “A Multi-Level Planning and Navigation System for a Mobile Robot: a First Approach to HILARE”, Procs. 6th IJCAI, Tokyo, Japan, August 1979.Google Scholar
  31. 31.
    Giralt, G., Chatila, R., Vaisset, M., “An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots”, Procs 1st Int. Symp. on Robotics Research, M.I.T., Michael Brady, Richard Paul, Eds, 1983.Google Scholar
  32. 32.
    Noreils, F., Chatila, R.: “Plan Execution Monitoring and Control Architecture for Mobile Robots”, IEEE Trans. Rob. & Autom., Vol.11No.2, April 1995, pp.255–266.CrossRefGoogle Scholar
  33. 33.
    Fleury, Sara: “Architecture de Contrôle Distribuée Pour Robots Mobiles Autonomes: Principes, Conception et Applications”, PhD thesis, Université Paul Sabatier de Toulouse, Rapport LAAS N° 96156, 1996.Google Scholar
  34. 34.
    Alami, R., Chatila, R. and Freeman, P.: “Task Level Teleprogramming for Intervention Robots”, Procs of Mobile Robots for Subsea Environments; IARP, Monterey, CA, 1991, pp 119–136.Google Scholar
  35. 35.
    Brooks R., “Achieving Artificial Intelligence Through Building Robots,” M.I.T. Artificial Intelligence Laboratory, Memo 899, May 1986.Google Scholar
  36. 36.
    Brooks, R., “A Robust Layered Control System for a Mobile Robot”, IEEE Journal of Robotics and Automation, Vol. RA-2, 1, March 1986.Google Scholar
  37. 37.
    Laengle, TH. and Lueth, T.C.: “Decentralized Control of Distributed Intelligent Robots and Subsystems”..Google Scholar
  38. 38.
    Lueth. T.C. and U. Rembold: “Extensive Manipulation Capabilities and Reliable Behaviour at Autonomous Robot Assembly”, IEEE Int. Conference on Robotics and Automation, San Diego, CA,1994Google Scholar
  39. 39.
    Schneider, S., Chen, V. and Pardo-Catellote, G.: “The ControlShell Components — Based Real-Time, Programming System”, IEEE Int. Conference on Automation, Nagoya, Japan, 1995.Google Scholar
  40. 40.
    Stewart, D., Khosla, P.: “The Chimera Methodology: Designing Dynamically Reconfigurable and Reusable Real-time Software using Port-Based Objects”: Journal of Software Engineering and Knowledge Engineering, June 1996, pp.249–257.Google Scholar
  41. 41.
    Yoerger, D., Newman, J., Slotine: J., “Supervisory Control System for the JASON ROV”, IEEE J. Ocean. Eng., vol. OE-11, No. 3, July 1986, pp.392–399.CrossRefGoogle Scholar
  42. 42.
    Saridis, G. and K. Valavanis: “Analytic Design of Intelligent Machines”, Automatica, Vol. 24, 1988, pp.123–133.zbMATHCrossRefGoogle Scholar
  43. 43.
    Po-Robot: “Multi-Purpose Portuguese Flexible Mobile Robot, Working Plan Proposal”, Institute of Systems and Robotic, Porto,Portugal,1995Google Scholar
  44. 44.
    “Vehicle Management System”: Po-Robot Task 3 Report, Institute of Systems and Robotic, Porto, Portugal, 1997.Google Scholar
  45. 45.
    Ostroff, J.S.: “Synthesis of Controllers for Real-time Discrete Event Systems”, Procs. of the 28th Conference on Decision and Control, Tampa, Florida, December 1989, pp. 138–144Google Scholar
  46. 46.
    Ostroff, J.S. and Wonham W., M.: “A Framework for Real-Time Discrete Event Control”, in IEEE Transactions on Automatic Control, Vol 35 N. 4, Abril 1990, pp.386–397.MathSciNetzbMATHCrossRefGoogle Scholar
  47. 47.
    Sousa. J.: “On the Control of Remus Vehicle”, Remus Project Report, Institute of Systems and Robotic, Porto, Portugal, 1997.Google Scholar
  48. 48.
    “Functional System”: Po-Robot Sub-Task ST2/T3 Report, Institute of Systems and Robotic, Porto,Portugal, 1997.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • E. Pereira da Silva
    • 1
  • F. Lobo Pereira
    • 2
    • 3
  • J. Borges Sousa
    • 2
    • 3
  1. 1.Instituto Superior de Engenharia do Porto and Instituto de Sistemas e Robótica-PortoPortoPortugal
  2. 2.Faculdade de Engenharia da Universidade do PortoPorto CodexPortugal
  3. 3.Instituto de Sistemas e Robótica-PortoPorto CodexPortugal

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