Robust proprioceptive grasping with a soft robot hand
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-3268
- Type
- D - Journal article
- DOI
-
10.1007/s10514-018-9754-1
- Title of journal
- Autonomous Robots
- Article number
- -
- First page
- 681
- Volume
- 43
- Issue
- 3
- ISSN
- 0929-5593
- Open access status
- Compliant
- Month of publication
- April
- 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)
-
B - AI (Artificial Intelligence)
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is one of the first works to integrate soft sensors into soft hands for robotic object identification based on haptics. Due to this, the conference paper (of which this journal paper is an extended version) is extremely well cited, where the referrers come from almost all top Soft-Robot groups all around the world (e.g. including U of Cambridge, MIT, UC Berkeley, Columbia, National Univ. of Singapore, UC San Diego, TU Berlin, to name a few).
The mentioned conference paper (DOI: 10.1109/IROS.2015.7353596) is *not* submitted as a separate REF paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
