An automatic control model for rat-robot

Author

Sun, Chao ; Zheng, Nenggan ; Zhang, Xinlu ; Chen, Weidong ; Zheng, Xiaoxiang

Author_Institution

Qiushi Acad. for Adv. Studies (QAAS), Zhejiang Univ., Hangzhou, China

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

7413

Lastpage

7416

Abstract

In this paper, a control model is developed to automate the process of navigation in rat-robot-a new type of bio-robot based on BCI (Brain-Computer Interface) technique. Because of the particular difficulties in rat-robot control, we design a novel control model to `learn´ and `imitate´ the control behavior of human guidance. General Regression Neural Network (GRNN) model is used to analyze the control commands made by human operators, with the locomotion information of rat-robot recorded and analyzed in a video-based experimental system. The results of the control model shows that the human control process could be well understood and predicted, and expected to generate control commands automatically in future real-time rat-robot navigation experiments.

Keywords

brain-computer interfaces; medical robotics; neural nets; regression analysis; BCI; General Regression Neural Network; automatic control model; brain-computer interface; rat-robot control; Computational modeling; Educational institutions; Humans; Navigation; Process control; Robots; Training; Algorithms; Animals; Automation; Humans; Models, Theoretical; Neural Networks (Computer); Rats; Regression Analysis; Robotics; Video Recording;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091726

Filename

6091726