Abstract
We propose a multiagent, distributed approach to Service Mobile Robotics which we metaphorically call “Artificial Ecosystem”: robots are thought of as mobile units within an intelligent environment where they coexist and co-operate with fixed, intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. In particular, intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper describes the approach and a case study within an hospital, by outlining the benefits in terms of efficiency and Real-Time responsiveness.
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References
Brooks, R.: A Robust Layered Control System for a mobile robot. IEEE J. of Robotics and Automation RA-2 l (1986)
Parker, L.E.: ALLIANCE: An Architecture for Fault Tolerant Multi-Robot Cooperation. IEEE Transactions on Robotics and Automation 14(2) (1998)
Arkin, R.C.: Motor Schema-Based Mobile Robot Navigation. International Journal of Robotics Research (1990)
Gat, E.: Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots. In: Proceedings of the National Conference on Artificial Intelligence, AAAI (1992)
Burgard, W., Cremers, A.B., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., Thrun., S.: Experiences with an interactive museum tour-guide robot. Artificial Intelligence (AI) 114(1-2) (2000)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall, NJ (1995)
Miozzo, M., Scalzo, A., Sgorbissa, A., Zaccaria, R.: Autonomous Robots and Intelligent Devices as an Ecosystem. In: International Symposium on Robotics and Automation (ISRA 2002), Toluca, Mexico (September 2002)
Piaggio, M., Sgorbissa, A., Zaccaria, R.: Pre-emptive Versus Non Preemptive Real Time Scheduling in Intelligent Mobile Robotics. Journal of Experimental and Theoretical Artificial Intelligence 12(2) (2000)
Sanguineti, V., Morasso, P.: Computational maps and target fields for reaching movements. In: Morasso, P., Sanguineti, V. (eds.) Self-organization, Computational Maps, and Motor Control, pp. 547–592. Elsevier Science Publishers, Amsterdam (1997)
Piaggio, M., Zaccaria, R.: An Autonomous System for a Vehicle Navigating in a Partially or Totally Unknown Environment. In: Proc. Int. Workshop on Mechatronical Computer Systems for Perception and Action MCPA, Pisa, Italy (1997)
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Miozzo, M., Sgorbissa, A., Zaccaria, R. (2003). A Multiagent, Distributed Approach to Service Robotics. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_191
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DOI: https://doi.org/10.1007/978-3-540-45224-9_191
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
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