日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:1212.0083

From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain

From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain

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著者: Laurent Bougrain, Olivier Rochel, Octave Boussaton, Lionel Havet

分類: cs.NE, cs.HC, cs.RO, q-bio.NC

原文アブストラクト

This paper presents a complete processing chain for decoding intracranial data recorded in the cortex of a monkey and replicates the associated movements on a JACO robotic arm by Kinova. We developed specific modules inside the OpenViBE platform in order to build a Brain-Machine Interface able to read the data, compute the position of the robotic finger and send this position to the robotic arm. More pre- cisely, two client/server protocols have been tested to transfer the finger positions: VRPN and a light protocol based on TCP/IP sockets. According to the requested finger position, the server calls the associ- ated functions of an API by Kinova to move the fin- gers properly. Finally, we monitor the gap between the requested and actual fingers positions. This chain can be generalized to any movement of the arm or wrist.