Material recognition using tactile sensing
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22 - 697368
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2017.10.045
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 94
- Volume
- 94
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- 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
-
2
- Research group(s)
-
A - Computing and Informatics Research Centre
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Tactile sensing in robotics significantly lags developments in the robotic visual image processing modality. This paper contributed to the lead author securing a permanent lectureship in Ulster University and helped build an international collaboration between Northeastern University in China (Prof. Chengdong Wu) and Ulster University, leading to bilateral research visits.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
