Title :
Model of integration and management for robotic functional components inspired by the human neuroregulatory system
Author :
Martínez, José Vicente Berná ; Pérez, Francisco Maciá
Author_Institution :
Comput. Sci. Dept., Univ. of Alicante, Alicante, Spain
Abstract :
This paper presents a model of integration and management for robotic functional components that make up the robotic control system. To that end, we use the human neuroregulatory system as the basis for the decomposition of tasks and actions behavior, and we rely on the SOA paradigm for the design of a distributed architecture that allows the viability of the system. This proposal will ensure a total decoupling between modules by promoting the reusability and features such as pattern-based design, while the system is fully distributed ensuring high flexibility, scalability, robustness and fault tolerance.
Keywords :
neurophysiology; robots; software architecture; SOA paradigm; distributed architecture; fault tolerance; human neuroregulatory system; pattern based design; robotic control system; robotic functional component;
Conference_Titel :
Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on
Conference_Location :
Bilbao
Print_ISBN :
978-1-4244-6848-5
DOI :
10.1109/ETFA.2010.5641077