Abstract
This paper presents an electromechanical robotic model of the human body and brain. The model is designed to reverse engineer some biological functional aspects of the human body and brain. The functional aspects includes reverse engineering, a) biological perception by means of “sensory monitoring” of the external world, b) “self awareness” by means of monitoring the location and identification of all parts of the robotic body, and c) “biological sensory motor control” by means of feedback monitoring of the internal reaction of the robotic body to external forces. The model consists of a mechanical robot body controlled by a neural network based controller.
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© 2006 Springer-Verlag Berlin Heidelberg
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Rosen, A., Rosen, D.B. (2006). An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic Sensors. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_13
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DOI: https://doi.org/10.1007/11893028_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46479-2
Online ISBN: 978-3-540-46480-8
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