Research on shared control of robots based on hybrid brain-computer interface.

Journal: Journal of neuroscience methods
Published Date: Sep 11, 2024

Abstract

BACKGROUND: With the arrival of the new generation of artificial intelligence wave, new human-robot interaction technologies continue to emerge. Brain-computer interface (BCI) offers a pathway for state monitoring and interaction control between human and robot. However, the unstable mental state reduce the accuracy of human brain intent decoding, and consequently affects the precision of BCI control.

Authors

  • Ziqi Zhang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Mengfan Li
    School of Electrical Engineering and Automation, Tianjin University, Tianjin, China.
  • Ran Wei
  • Wenzhe Liao
    the School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300132, China.
  • Fuyong Wang
    the College of Artificial Intelligence, Nankai University, China and with the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianji 300350, China.
  • Guizhi Xu
    2Department of Biomedical Engineering,Hebei University of Technology,Tianjin,People's Republic of China.

Keywords

External Resources

Popular Topics
Recent Journals