[robotics-worldwide] [journals] Call for paper: IEEE RA-L special issue on "Intelligent Human-Robot Interaction for Rehabilitation and Physical Assistance"

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[robotics-worldwide] [journals] Call for paper: IEEE RA-L special issue on "Intelligent Human-Robot Interaction for Rehabilitation and Physical Assistance"

Seyed Atashzar
We invite submission to our IEEE RA-L special issue on "Intelligent
Human-Robot Interaction for Rehabilitation and Physical Assistance".

Please Click Here for
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.

Guest Editors: S. Farokh Atashzar, Mahdi Tavakoli, Mahya Shahbazi, and
Rajni V. Patel

*Timeline*:

   - Special Issue Call Publication: 15 April 2018
   - Special Issue Submission Opens: 1 May 2018
   - Special Issue Submission Closes: 15 July 2018
   - First Decision Communicated to Authors: 15 October 2018
   - Final Decision Communicated to Authors: 15 December 2018
   - Accepted RAL Papers appear on IEEE Xplore: 15 February 2018 (tentative)


To*pical  Area: *This special issue will aim to report recent developments
in enhancing human-robot interaction in advanced intelligent
robotic/telerobotic systems for motor rehabilitation and assistance. We aim
to focus particularly on issues related to physical interaction between
patients and robotic/mechatronic systems developed to deliver
Neuro-Rehabilitation and Assistive (NRA) services. The special issue will
cover a broad range of related subjects including but not limited to
safety, control, modeling, signal processing, smart autonomy and
instrumentation for advanced human-robot interaction in rehabilitation and
assistive systems. Specific topics of interest are listed below:

   - Physical human-robot interaction for rehabilitation and assistance
   - Human-robot collaboration for rehabilitation and assistance
   - Control of human-centered robotic systems for rehabilitation and
   assistance
   - Machine learning and artificial intelligence in robotic systems for
   rehabilitation and assistance
   - Autonomy in robotic systems for rehabilitation and assistance
   - In-home/remote robotic rehabilitation and assistance


*Motivation:* The incidence rate of age-related neuromuscular disorders is
rapidly increasing worldwide due to an aging society. While better medical
care has increased survival rates, it has resulted in even more patients in
need of NRA services. This has placed a significant burden on the
healthcare systems worldwide and has challenged the quality of NRA services
delivered to patients. The situation is particularly difficult for patients
in remote areas.

A potential solution is to develop smart robotic and telerobotic
technologies that provide safe and effective means of in-hospital and
in-home NRA services. In this regard, robotic rehabilitation and assistance
systems have been developed and have attracted a great deal of interest.
Although there are advantages with the use of these technologies, there
still exist several technical, technological and control challenges among
which are (a) questionable compatibility with the sensorimotor needs of
patients, (b) high cost, and (c) conservative assurances of patient-robot
interaction safety. These issues are of particular concern when the robot
is to be used in a patient’s home or in remote areas under minimal
monitoring.

The special issue includes transdisciplinary research in engineering and
applied sciences (e.g., human-robot interaction, nonlinear control, machine
intelligence, instrumentation, compliant robots, bio-signal processing) and
medical sciences (e.g., neurosciences, rehabilitation sciences, human-motor
control and motor learning). The transdisciplinary nature of the work and
the specific focus of the topic call for a focused and in-depth special
issue that reports the latest progress in addressing the existing
challenges and possible future lines of research.

*--------------------------------*
*S. Farokh Atashzar, Ph.D.*
*Postdoctoral Research Associate, *

* Rehabilitation Engineering and Assistive Control Technologies (REACT), *
*and Canadian Surgical Technologies & Advanced Robotics (CSTAR) Center, *
*University of Western Ontario, **Canada.*
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