A corroborative approach to verification and validation of human–robot teams
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 173412890
- Type
- D - Journal article
- DOI
-
10.1177/0278364919883338
- Title of journal
- The International Journal of Robotics Research
- Article number
- -
- First page
- 73
- Volume
- 39
- Issue
- 1
- ISSN
- 0278-3649
- Open access status
- Compliant
- Month of publication
- November
- 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
-
6
- Research group(s)
-
A - Computer Science
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This paper provides a framework for utilising distinct verification techniques (formal verification, simulation based testing, practical robot experiments) together in a novel way to help improve trustworthiness, reliability and safety of autonomous robots.
An earlier version of the paper is discussed by Cornell researchers (Kshirsagar, Kress-Gazit, and Hoffman) in an IROS 2019 paper (Specifying and Synthesizing Human-Robot Handovers).
Invitations and presentations at Dagstuhl Seminar 19171 ""Ethics and Trust: Principles, Verification and Validation"" (2019).
Enabled collaboration in three (out of four) EPSRC Hubs on Robotics in Extreme Environments."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
