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.
Human-robot cooperation via brain computer interface / Foresi, Gabriele; Freddi, Alessandro; Iarlori, Sabrina; Monteriù, Andrea; Ortenzi, Davide; PROIETTI PAGNOTTA, Daniele. - ELETTRONICO. - (2017), pp. 1-2. (Intervento presentato al convegno IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) tenutosi a Berlin, Germany nel 3-6 Sept. 2017) [10.1109/ICCE-Berlin.2017.8210572].
Human-robot cooperation via brain computer interface
Foresi, Gabriele;Freddi, Alessandro;Iarlori, Sabrina;Monteriù, Andrea;Ortenzi, Davide;PROIETTI PAGNOTTA, DANIELE
2017-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
