Solving the task variant allocation problem in distributed robotics
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-04835
- Type
- D - Journal article
- DOI
-
10.1007/s10514-018-9742-5
- Title of journal
- Autonomous Robots
- Article number
- -
- First page
- 1477
- Volume
- 42
- Issue
- 7
- ISSN
- 0929-5593
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
http://eprints.gla.ac.uk/160412/
- 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)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: First paper introducing the concept of task variants in distributed robotics to facilitate the trade-off of functional quality versus the requisite capacity and type of target execution processors. SIGNIFICANCE: Task variants support the adaptation of software to specific hardware configurations in different distributed systems, e.g. autonomous vehicles. Previous works consider only a fixed set of tasks, limiting the ability of a system to adapt to different hardware configurations, and reducing the opportunities for optimisation. RIGOUR: The paper provides a novel and rigorous mathematical formulation and a systematic evaluation in a search space orders of magnitude larger than related work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -