Making fingers and words count in a cognitive robot
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1349
- Type
- D - Journal article
- DOI
-
10.3389/fnbeh.2014.00013
- Title of journal
- Frontiers in Behavioral Neuroscience
- Article number
- ARTN 13
- First page
- 1
- Volume
- 8
- Issue
- 13
- ISSN
- 1662-5153
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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)
-
-
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The article presents the pioneer work of a multidisciplinary team with expertise in Cognitive Science, Robotics and Neural Systems and Psychology. Indeed, the work presents the first connectionist model of finger counting executed by a humanoid robot with fully functional hands and fingers: the iCub, a pioneering platform only available to only 25 laboratories in the world. The findings of this research led to the NUMBERS project that won the support of the EPSRC (£101k, EP/P030033/1) and a £16,000 donation (computing hardware and staff support) from the NVIDIA corporation to Sheffield Hallam University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -