A client–server architecture for remotely controlling a robot using a closed-loop system with a biological neuroprocessor |
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| Authors: | Daniel de Santos Víctor Lorente Félix de la Paz José Manuel Cuadra José R Álvarez-Sánchez Eduardo Fernández José M Ferrández |
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| Affiliation: | 1. Instituto de Bioingeniería, Universidad Miguel Hernández, Elche, Spain;2. Dept. Electrónica y Tecnología de Computadores, Universidad Politécnica de Cartagena, Spain;3. Dept. Inteligencia Artificial, UNED, Spain;1. School of Computer Science, Minnan Normal University, Zhangzhou 363000, PR China;2. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000, PR China;1. Budapest University of Technology and Economics, Department of Cognitive Science, Egry József utca 1., T/5/506., 1111 Budapest, Hungary;2. Nyír? Gyula Hospital—National Institute of Psychiatry and Addiction, Lehel utca 59., 1135 Budapest, Hungary;3. School of Social Sciences and Psychology & Marcs Institute for Brain and Behaviour, Western Sydney University, Locked Bag 1797, Penrith, 2751 Sydney, New South Wales, Australia;4. National Institute of Medical Rehabilitation, Szanatórium utca 19., 1528 Budapest, Hungary;5. Semmelweis University, Department of Neurology, Balassa utca 6., 1083 Budapest, Hungary;6. University of Szeged, Institute of Physiology, Dóm tér 10., 6720 Szeged, Hungary;1. Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, 707 N. Broadway, Baltimore, MD 21205, USA;2. Department of Neurology, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD 21287, USA;3. Human Motor Control Section, Medical Neurology Branch, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Building 10, Room 7D37, 10 Center Drive, MSC 1428, Bethesda, MD 20892-1428, USA;4. Laboratory for Neurocognitive and Imaging Research, Kennedy Krieger Institute, 707 N. Broadway, Baltimore, MD 21205, USA;5. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD 21287, USA;1. Université de Technologie de Compiègne, Department of Mechanical Systems Engineering, CNRS UMR7337 Roberval, CS 60319, 60203 Compiègne Cedex, France;2. Institute for Design Management, Northwestern Polytechnical University, Xi?an, Shaanxi, PR China |
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| Abstract: | This paper introduces an open-source real-time system that remotely controls a robot using human neuroblastoma cultures and a client–server architecture. Multielectrode array set-ups have been designed for direct culturing of neural cells over silicon or glass substrates, providing the capability simultaneously to stimulate and record populations of neural cells. However, it is very difficult to attach these neural cells to the robot structure due to the special conditions of the biological material. The main objective of this research is to build a client–server system for remotely connecting a robot to a neural culture in a closed-loop experimentation. The robot sensors will feed the biological neuroprocessor, while the neural activity will be used for guiding the robot, controlling in this way the robotic behaviour. |
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