Behavioral Learning in a Cognitive Neuromophic Robot: An Integrative Approach
- Submitting institution
-
Oxford Brookes University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 186984154
- Type
- D - Journal article
- DOI
-
10.1109/TNNLS.2018.2816518
- Title of journal
- IEEE Transactions on Neural Networks and Learning Systems
- Article number
- -
- First page
- 6132
- Volume
- 29
- Issue
- 12
- ISSN
- 2162-237X
- Open access status
- Compliant
- Month of publication
- May
- 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
-
9
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Although a very recent publication, this work has stimulated further interest. It been taken up by the newly-established robotics group led by Prof. Angelo Cangelosi at the University of Manchester, where it is in the process of being extended by Alexander Angelov. Dr. Rast at Oxford Brookes has been collaborating with Prof. Cangelosi and Mr. Angelov on this ongoing work, and extensions of similar ideas are also being pursued at Brookes, potentially with a view to use in the OBR:Autonomous team developing an autonomous racing car for the Formula-Student:Autonomous competition.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
