Assist-as-Needed Control of an Intrinsically Compliant Robotic Gait Training Orthosis
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- ELEC-51
- Type
- D - Journal article
- DOI
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10.1109/TIE.2016.2580123
- Title of journal
- IEEE Transactions on Industrial Electronics
- Article number
- -
- First page
- 1675
- Volume
- 64
- Issue
- 2
- ISSN
- 0278-0046
- Open access status
- Deposit exception
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes an adaptive control scheme for optimising performance of robot-assisted gait training. The novelty of the control system is that the level of assistance required for a patient to control the robot is evaluated in order to provide the most appropriate assistance. The research led to a National Natural Science Foundation of China (NSFC) international project on ‘Intelligent orthotics for lower limb rehabilitation’ (51475341, CNY2.0M), and an invited keynote on ‘rehabilitation robotics’ at IEEE IRCE2020 (Oxford). The work also led to a British Academy ‘Newton Mobility’ grant (IAPP1R2\100056) on low cost assistive robots for the elderly, with India.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
