A Chaotic Neural Network as Motor Path Generator for Mobile Robotics
| dc.contributor.author | Folgheraiter, Michele | |
| dc.contributor.author | Gini, Giuseppina | |
| dc.date.accessioned | 2017-02-22T11:56:37Z | |
| dc.date.available | 2017-02-22T11:56:37Z | |
| dc.date.issued | 2014 | |
| dc.description.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 | ru_RU |
| dc.identifier.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 | ru_RU |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/2337 | |
| dc.language.iso | en | ru_RU |
| dc.publisher | IEEE International Conference on Robotics and Biomimetics | ru_RU |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | Recurrent Neural Network RNN | ru_RU |
| dc.subject | Dynamic Neural Network | ru_RU |
| dc.subject | Control Path Generator | ru_RU |
| dc.subject | Lightweight Quadruped Robot | ru_RU |
| dc.subject | Neurodynamics | ru_RU |
| dc.title | A Chaotic Neural Network as Motor Path Generator for Mobile Robotics | ru_RU |
| dc.type | Article | ru_RU |