A Framework of Hybrid Force/Motion Skills Learning for Robots
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1509
- Type
- D - Journal article
- DOI
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10.1109/tcds.2020.2968056
- Title of journal
- IEEE Transactions on Cognitive and Developmental Systems
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2379-8920
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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- 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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2
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was carried out by an international partnership including Bristol Robotics (UWE) and the Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology. The research was supported by the National Natural Science Foundation (NSFC) of China under Grant 61803039. The interdisciplinary team with expertise in computational modelling, robotics, and control engineering carried out the theoretical development and the practical experimentation of novel framework for physical human-robot interaction and teleoperation that is currently being used by SHU for the MSCA-ITN PERSEO (2021-24), funded by EU (€4m).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -