Reliable Neural-Interface Technology (RE-NET) - Medical

Abstract

The goal of the Reliable Neural-Interface Technology (RE-NET) program is to develop technology needed to reliably extract information from the nervous system, and to do so at a scale and rate necessary to control many degree-of-freedom (DOF) machines, such as high-performance prosthetic limbs. This program will complement ongoing DARPA neural prosthetic activities funded through other DARPA programs. These activities study cognition and the mechanisms of higher brain function, as well as upper-limb prostheses and motor-decoding algorithms. RE-NET will develop the neural interface technologies to allow the best robotic prosthetic-limb technology, recently developed by DARPA, to be reliably used throughout the life of wounded warriors that have one or more amputated limbs. This effort continues in FY 2012 in PE 0602115E, Project BT-01.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2012
Source ID
5980152794e0c4f491ce50b2268d3952

Tags

Fields of Study

  • Medicine

Readers

  • Defense Technology Research and Development.
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Autonomy

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