CyberLimb: a novel robotic prosthesis concept with shared and intuitive control.

Journal: Journal of neuroengineering and rehabilitation
Published Date: Apr 29, 2022

Abstract

BACKGROUND: Existing assistive technologies attempt to mimic biological functions through advanced mechatronic designs. In some occasions, the information processing demands for such systems require substantial information bandwidth and convoluted control strategies, which make it difficult for the end-user to operate. Instead, a practical and intuitive semi-automated system focused on accomplishing daily tasks may be more suitable for end-user adoption.

Authors

  • Nicolas Seppich
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Nicholas Tacca
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Kuo-Yi Chao
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Milan Akim
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Diego Hidalgo-Carvajal
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany. diego.hidalgo-carvajal@tum.de.
  • Edmundo Pozo Fortunić
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Alexander Tödtheide
    Chair of Robotics and Systems Intelligence, MIRMI-Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), formerly MSRM, Munich, Germany.
  • Johannes Kühn
    RSI - Chair of Robotics and Systems Intelligence, Munich School of Robotics and Machine Intelligence, Technical University Munich (TUM), Heßstr. 134, 80797 München, Germany.
  • Sami Haddadin
    Chair of Robotics Science and Systems Intelligence and Munich School of Robotics and Machine Intelligence, Heßstraße 134, 80797 München, Germany.

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