Abstract
A way to improve the reliability and to reduce costs in autonomous robots is to add intelligence to on-board diagnosis and control systems to avoid expensive hardware redundancy and inopportune mission abortion. According to this, the main goal of the ADVOCATE II project is to adapt legacy piloting software around a generic SOAP (Simple Object Access Protocol) architecture on which intelligent modules could be plugged. Artificial Intelligent (AI) modules using Belief Bayesian Networks (BBN), Neuro-Symbolic Systems (NSS), and Fuzzy Logic (FL) are coordinated to help the operator or piloting system manage fault detection, risk assessment, and recovery plans. In this paper, the specification of the ADVOCATE II system is presented.
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References
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© 2003 Springer-Verlag Berlin Heidelberg
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Sotelo, M.A. et al. (2003). ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II. In: Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST 2003. EUROCAST 2003. Lecture Notes in Computer Science, vol 2809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45210-2_28
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DOI: https://doi.org/10.1007/978-3-540-45210-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20221-9
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