Automatic Configuration of ROS Applications for Near-optimal Performance
- Submitting institution
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University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-05146
- Type
- E - Conference contribution
- DOI
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10.1109/IROS.2016.7759347
- Title of conference / published proceedings
- 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- First page
- 2217
- Volume
- -
- Issue
- -
- ISSN
- 2153-0866
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2016
- URL
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http://eprints.gla.ac.uk/177444/
- 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
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: We provide a new tool to automatically configure ROS (Robot Operating System) applications. SIGNIFICANCE: The paper addresses two important configuration problems (i.e. parameter values, node allocation) that the typical ROS user is confronted with. This work is one of the key results of a 2017 PhD thesis (supported by the EPSRC grant EP/F500385/1 and the BBSRC grant BB/F529254/1), and was published in a leading robotics conference. RIGOUR: We propose a greedy algorithm for optimising each problem, we evaluate both problems through simulation and we validate them in a real ROS scenario.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -