Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1492310
- Type
- D - Journal article
- DOI
-
10.3389/frobt.2019.00056
- Title of journal
- Frontiers in Robotics and AI
- Article number
- 56
- First page
- -
- Volume
- 6
- Issue
- -
- ISSN
- 2296-9144
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
https://www.frontiersin.org/articles/10.3389/frobt.2019.00056/abstract
- 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
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work was funded by the EU Horizon 2020 (grant agreement No 732515) and is being utilised in the development of haptic feedback of the robot-assisted surgical (RAS) system of the SMARTsurg project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
