A Chaotic Neural Network as Motor Path Generator for Mobile Robotics

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Date

2014

Authors

Folgheraiter, Michele
Gini, Giuseppina

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE International Conference on Robotics and Biomimetics

Abstract

This work aims at developing a motor path generator for applications in mobile robotics based on a chaotic neural network. The computational paradigm inspired by the neural structure of microcircuits located in the human prefrontal cortex is adapted to work in real-time and used to generate the joints trajectories of a lightweight quadruped robot. The recurrent neural network was implemented in Matlab and a software framework was developed to test the performances of the system with the robot dynamic model. Preliminary results demonstrate the capability of the neural controller to learn period signals in a short period of time allowing adaptation during the robot operation

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Keywords

Recurrent Neural Network RNN, Dynamic Neural Network, Control Path Generator, Lightweight Quadruped Robot, Neurodynamics

Citation

Michele Folgheraiter, Giuseppina Gini; 2014; A Chaotic Neural Network as Motor Path Generator for Mobile Robotics; IEEE International Conference on Robotics and Biomimetics; http://nur.nu.edu.kz/handle/123456789/2337

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