Abstract
This chapter presents an Hybrid Architecture based on Representations, Perception and Intelligent Control (HARPIC). It includes reactive and deliberative behaviors, which we have developed to confer autonomy to unmanned robotics systems. Two main features characterize our work: on the one hand the ability for the robot to control its own autonomy, and on the other hand the capacity to evolve and to learn.
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References
R. Alami, R. Chatila, S. Fleury, M. Ghallab, and F. Ingrand. An architecture for autonomy. The International Journal of Robotics Research, 17–4: 315–337, 1998.
J. S. Albus. 4-D/RCS reference model architecture for unmanned ground vehicles. In SPIE session on Unmanned Ground Vehicle Technology, Orlando Florida, april 1999.
R.C. Arkin. Behavior-based robotics. A Bradford Book, The MIT Press, 1998.
A. Berthoz. Le sens du mouvement. Éditions Odile Jacob, 1997.
M.A. Boden, editor. The philosophy of artificial life. Oxford Readings in Philosophy, 1996.
J. Connell. SSS: a hybrid architecture applied to robot navigation. In IEEE Conference on Robotics and Automation, Nice, France, 1992.
A. Dalgalarrondo and D. Luzeaux. Rule-based incremental control within an active vision framework. In 4 th Int. Conf. on Control, Automation, Robotics and Vision, Westin Stamford, Singapore, 1996.
E. Gat. Integrating planning and reacting in a heterogeneous asynchronous architecture for controlling real-world mobile robots. In AAAI-92, San Jose, CA, 1992.
S. Hamad. The symbol grounding problem. Physica D, 42: 335–346, 1990.
P.J. Hayes. The frame problem and related problems in artificial intelligence. In J. Allen, J. Hendler, and A. Tate, editors, Readings in Planning, pages 588–595. Morgan Kaufmann Publishers, Inc., 1990.
I. Horswill. Specialization of perceptual processes. Ph.D. Dissertation,MIT, Cambridge, MA, 1993.
L. Kam. Approximation multifractale guidée par la reconnaissance. Doctorat de l’Université Paris XI, Orsay, 2000.
S.M. Kosslyn. Image and Brain. A Bradford Book, The MIT Press, 1992.
B. Kuipers. Qualitative Reasoning: Modeling and Simulation with incomplete knowledge. The MIT Press, 1994.
D. Luzeaux. Let’s learn to control a system! In IEEE International Conference on Systems Man Cybernetics, Le Touquet, France, 1993.
D. Luzeaux. Learning knowledge-based systems and control of complex systems. In 15th IMACS World Congress, Berlin, Germany, 1997.
D. Luzeaux. Mixed filtering and intelligent control for target tracking with mobile sensors. In 29th Southeastern Symposium on System Theory, Cookeville, TN, USA, 1997.
D. Luzeaux. Catastrophes as a way to build up knowledge for learning robots. In 16th IMACS World Congress, Lausanne, Switzerland, 2000.
D. Luzeaux and A. Dalgalarrondo. Assessment of image processing algorithms as the keystone of autonomous robot control architectures. In J. Blanc-Talon and D. Popescu, editors, Imaging and Vision Systems: Theory, Assessment and Applications. NOVA Science Books, New York, 2001.
D. Luzeaux and B. Zavidovique. Process control and machine learning: rule-based incremental control. IEEE Transactions on Automatic Control, 39 (6), 1994.
P. Pirjanian. Behavior coordination mechanisms: state-of-the-art. Technical report, University of Southern California, TR IRIS-99–375, 1999.
P. Sellem; E. Amram, and D. Luzeaux. Open multi-agent architecture extended to distributed autonomous robotic systems. In SPIE Aerosense’00, Conference on Unmanned Ground Vehicle Technology II, Orlando, FL, USA, 2000.
O. Sigaud and D. Luzeaux. Learning hierarchical controllers for situated agents. In Proceedings of the 14th International Congress on Cybernetics, Bruxelles, Belgium, 1995.
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Luzeaux, D., Dalgalarrondo, A. (2003). Hybrid Architecture for Autonomous Robots, Based on Representation, Perception and Intelligent Control. In: Abraham, A., Jain, L.C., Kacprzyk, J. (eds) Recent Advances in Intelligent Paradigms and Applications. Studies in Fuzziness and Soft Computing, vol 113. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1770-6_2
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DOI: https://doi.org/10.1007/978-3-7908-1770-6_2
Publisher Name: Physica, Heidelberg
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