A Multiple Models Approach for Adaptation and Learning in Mobile Robots Control

Author:

D’Amico A.,Ippoliti G.,Longhi S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Reference64 articles.

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2. Angeloni, A., Leo, T., Longhi, S., Zulli, R.: Real time collision avoidance for mobile robots. In: Proceedings of the 6th Symposium on Measurement and Control in Robotics (ISMCR 96), pp. 239–244. Brussels, Belgium (1996)

3. Baldini, M., Corradini, M., Jetto, L., Longhi, S.: A multiple-model based approach for the intelligent control of underwater remotely operated vehicles. In: Proceedings of the 14th Triennial World Congress of IFAC, vol. Q, pp. 19–24. Beijing, P.R. China (1999)

4. Bourhis, G., Horn, O., Habert, O., Pruski, A.: An autonomous vehicle for people with motor disabilities. IEEE Robot. Autom. Mag. 7(1), 20–28 (2001)

5. Canudas-de-Wit, C., Khennouf, H.: Quasi-continuous stabilizing controllers for nonholonomic systems: design and robustness considerations. In: Proceedings of the 3rd European Control Conference, pp. 2630–2635. Rome, Italy (1995)

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