Folgheraiter, MicheleGini, Giuseppina2017-02-222017-02-222014Michele 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/123456789/2337http://nur.nu.edu.kz/handle/123456789/2337This 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 operationenAttribution-NonCommercial-ShareAlike 3.0 United StatesRecurrent Neural Network RNNDynamic Neural NetworkControl Path GeneratorLightweight Quadruped RobotNeurodynamicsArticle