Editorial: Autonomy and intelligence in neurorehabilitation robotic and prosthetic technologies

S. Farokh Atashzar, Mahdi Tavakoli, Dario Farina, Rajni V. Patel

Research output: Contribution to journalReview articlepeer-review

Abstract

Neurorehabilitation robotic technologies and powered assistive prosthetic devices have shown great potential for accelerating motor recovery or compensating for the lost motor functions of disabled users. The functioning of these technologies relies on a highly-interactive bidirectional flow of information and physical energy between a human user and a robotic system. Thus, key factors are integrity, intelligence and quality of the interaction loops. As a result, research in this field has focused on (a) enhancing the quality and safety of the physical interaction between disabled users and robotic systems while providing a high level of intelligence and adaptability for generating assistive and therapeutic force fields; (b) detecting the user's motor intention with high spatiotemporal resolution to provide bidirectional human-machine interfacing; (c) promoting mental engagement through designing multimodal interactive interfaces and various sensory manipulation strategies. This Special Issue has collected papers that contribute to these three research areas, highlighting the importance of different aspects in human-robot interaction loops for augmenting the performance of neurorehabilitation robotic systems and prosthetic devices.

Original languageEnglish (US)
Article number2002001
JournalJournal of Medical Robotics Research
Volume5
Issue number1-2
DOIs
StatePublished - Mar 1 2020

ASJC Scopus subject areas

  • Biomedical Engineering
  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Applied Mathematics

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