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A robot for brain-controlled grasping

 
: Kennel, Matthias

:
Volltext (PDF; )

Sciutti, A.:
HRI 2014. Workshop "HRI: A bridge between Robotics an Neuroscience. From understanding humans to assisting humans and back". Online resource : March 03, 2014, Bielefeld; 9th ACM/IEEE International Conference on Human-Robot Interaction
Online im WWW, 2014
8 S.
Workshop "HRI - A Bridge between Robotics an Neuroscience. From understanding humans to assisting humans and back" <2014, Bielefeld>
International Conference on Human-Robot Interaction (HRI) <9, 2014, Bielefeld>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IFF ()

Abstract
In this paper we present a system that allows patients with motor disabilities to grasp everyday objects. A closed-loop Brain–Machine Interface (BMI) instantiates a connection between the human central nervous system and an industry robot designed to execute the grasping task.
Two central problems were addressed in this paper, namely I) the implementation of a BMI to translate a subject’s voluntary modulation of brain activation patterns into commands for target selection and grasp execution and II) the development of a robot that autonomously grasps natural objects. Our approach in the work was to implement as much intelligence as possible into an industry standard robotic system to claim a minimum of information flow from the patient to the system. The final system demonstrates the feasibility of brain controlled grasping of natural objects with a robotic arm which is an important step towards the development of intelligent prostheses for paralyzed patients.

: http://publica.fraunhofer.de/dokumente/N-332971.html