Autonomous Clothes Manipulation Using a Hierarchical Vision Architecture
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 5230
- Type
- D - Journal article
- DOI
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10.1109/access.2018.2883072
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 76646
- Volume
- 6
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Technical exception
- Month of publication
- December
- Year of publication
- 2018
- 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
-
3
- Research group(s)
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J - Visual Computing
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper describes the first use of a dual-arm robot with a stereo vision system to flatten wrinkled garments autonomously. The employed perception-action approach is a generic solution with wider application. The research was part of the final review demo of EU FP7 project CloPeMa, was featured in a BBC Scotland interview (https://www.bbc.co.uk/news/uk-scotland-32612928), and has 5K YouTube video views (https://youtu.be/Z85bW6QqdMI). An earlier version of the research was nominated for best conference paper at the prestigious robotics conference ICRA, 2015 (Google Scholar: 57). The work was cited as background in the EPSRC grant (EP/R005605/1) with Shadow Robotics Ltd (contact: Managing Director).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -