Abstract

This work proposes an approach for performing Human-Robot Cooperation (HRC) tasks by integrating a Brain Computer Interface (BCI) with a robotic manipulator. In detail, the user can select one among six different objects via BCI, which analyzes the P300 signals generated by the brain when the images of the selectable objects appear on the screen. Then, the selected object is recognized by a Support Vector Machine (SVM) classifier, which scans the data acquired by the robot camera. Finally, the recognized object is grasped by the robotic arm and moved to a different position.

Keywords:
Brain–computer interface Computer science Artificial intelligence Computer vision Support vector machine Robot Interface (matter) Object (grammar) Robotic arm Classifier (UML) Electroencephalography

Metrics

6
Cited By
0.90
FWCI (Field Weighted Citation Impact)
8
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
© 2026 ScienceGate Book Chapters — All rights reserved.