Deep Recurrent Neural Networks Based Obstacle Avoidance Control for Redundant Manipulators
- Submitting institution
-
Swansea University / Prifysgol Abertawe
- Unit of assessment
- 12 - Engineering
- Output identifier
- 52000
- Type
- D - Journal article
- DOI
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10.3389/fnbot.2019.00047
- Title of journal
- Frontiers in Neurorobotics
- Article number
- 47
- First page
- -
- Volume
- 13
- Issue
- -
- ISSN
- 1662-5218
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- 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
-
-
- Research group(s)
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2 - FMRI - Future Manufacturing Research Institute
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output has been pivotal for the establishment of new collaborations with leading groups in the area of deep learning (e.g., Prof. Chunbo Luo, University of Exeter, C.Luo@exeter.ac.uk). It also directed an invited organisation of a special issue entitled ‘Recent Advances in Robot-Enhanced Home Automation’ with the Journal titled Frontiers in Robotics and AI (https://bit.ly/3dOlYBI).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -