Full metadata
Title
Current joint action problems and solutions in robotics-based stroke upper limb rehabilitation
Description
Robotic rehabilitation for upper limb post-stroke recovery is a developing technology. However, there are major issues in the implementation of this type of rehabilitation, issues which decrease efficacy. Two of the major solutions currently being explored to the upper limb post-stroke rehabilitation problem are the use of socially assistive rehabilitative robots, robots which directly interact with patients, and the use of exoskeleton-based systems of rehabilitation. While there is great promise in both of these techniques, they currently lack sufficient efficacy to objectively justify their costs. The overall efficacy to both of these techniques is about the same as conventional therapy, yet each has higher overhead costs that conventional therapy does. However there are associated long-term cost savings in each case, meaning that the actual current viability of either of these techniques is somewhat nebulous. In both cases, the problems which decrease technique viability are largely related to joint action, the interaction between robot and human in completing specific tasks, and issues in robot adaptability that make joint action difficult. As such, the largest part of current research into rehabilitative robotics aims to make robots behave in more "human-like" manners or to bypass the joint action problem entirely.
Date Created
2015-05
Contributors
- Ramakrishna, Vijay Kambhampati (Author)
- Helms Tillery, Stephen (Thesis director)
- Buneo, Christopher (Committee member)
- Barrett, The Honors College (Contributor)
- Economics Program in CLAS (Contributor)
- W. P. Carey School of Business (Contributor)
- School of Life Sciences (Contributor)
Topical Subject
Resource Type
Extent
36 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2014-2015
Handle
https://hdl.handle.net/2286/R.I.28797
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 2 months ago
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