Robot task planning and explanation in open and uncertain worlds
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24112523
- Type
- D - Journal article
- DOI
-
10.1016/j.artint.2015.08.008
- Title of journal
- Artificial Intelligence
- Article number
- -
- First page
- 119
- Volume
- 247
- Issue
- -
- ISSN
- 0004-3702
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- 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
-
13
- Research group(s)
-
-
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the first AI system capable of performing integrated task planning, action and explanation in open worlds, i.e. worlds where full knowledge of the operating environment is not provided. This required a highly novel integration of logical reasoning, probabilistic planning, machine learning, and explanation generation, representing the culmination of 4 years of research across multiple European groups. It is a leading paper in the field of AI and Robotics, highlighting both the capabilities of robots endowed with AI-powered control systems, and
the deep and complex problems that exist when these two fields are combined.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -