Ontology enhancing process for a situated and curiosity-driven robot
- Submitting institution
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The University of Hull
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1768362
- Type
- D - Journal article
- DOI
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10.1016/j.robot.2014.06.005
- Title of journal
- Robotics and Autonomous Systems
- Article number
- -
- First page
- 1837
- Volume
- 62
- Issue
- 12
- ISSN
- 0921-8890
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- 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
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper contributed a novel cognitive framework to solve grounding problems in the area of human–robot collaboration by utilizing ontology to express and share knowledge in a meaningful way. The framework uses a novel form of social and self-driven learning and has a substantial social impact as it contributes significantly in the process of introducing robots in to everyday life. This is especially relevant in environments such as hospitals, homes, industry etc where human robot collaboration is essential.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -