Towards Biologically Inspired Neural Controllers for Intelligent Robots : A BMI Approach

  • Capi, Genci (Principal Investigator)

Project Details

Abstract

Recent works on Brain Machine Interface(BMI) has given promising results for developing prosthetic devices aimed at restoring motor functions in paralyzed patients. The goal of this work is to create a part mechanical, part biological robot that operates on the basis of the neural activity of rat brain cells. In our method, first the rat learns to move the robot by pressing the right and left lever in order to get food. Then, we utilize the data of multi-electrode recordings to train artificial neural controllers, which are later employed to control the robot motion based on the brain activity of rats. The results show a good performance of artificial neural network controlling the real robot.
StatusFinished
Effective start/end date2009/01/01 → 2011/12/31

Funding

  • Japan Society for the Promotion of Science: ¥4,420,000.00

Keywords

  • BMI
  • 知能ロボット
  • ニューラルネット

Access Project

  • 3 Conference contribution

  • Real time robot policy adaptation based on intelligent algorithms

    Capi, G., Toda, H. & Kaneko, S. I., 2011, Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings. PART 2 ed. p. 1-10 10 p. (IFIP Advances in Information and Communication Technology; vol. 364 AICT, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Controlling the robot using the brain signals

    Capi, G., Takahashi, T., Urushiyama, K. & Kawahara, S., 2009, RO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive. p. 781-785 5 p. 5326236. (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Robots controlled by neural networks trained based on brain signals

    Capi, G., Takahashi, T., Urushiyama, K. & Kawahara, S., 2009, Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009. 5306264. (Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review