TY - JOUR
T1 - Editorial
T2 - Autonomy and intelligence in neurorehabilitation robotic and prosthetic technologies
AU - Farokh Atashzar, S.
AU - Tavakoli, Mahdi
AU - Farina, Dario
AU - Patel, Rajni V.
N1 - Funding Information:
From the Division of Cardiology, Toronto General Hospital, and the Divisions of Nuclear Medicine, Toronto General Hospital and Hospital For Sick Children, Toronto, Canada. This study was supported by Grant Tl-7, The Heart and Stroke Foundation of Ontario, Toronto, Ontario, Canada. Manuscript received October 8, 1984; revised manuscript received February 7, 1985, accepted February 12, 1985.
Publisher Copyright:
© 2020 World Scientific Publishing Company.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
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U2 - 10.1142/S2424905X20020018
DO - 10.1142/S2424905X20020018
M3 - Review article
AN - SCOPUS:85120539672
VL - 5
JO - Journal of Medical Robotics Research
JF - Journal of Medical Robotics Research
SN - 2424-9068
IS - 1-2
M1 - 2002001
ER -