Timing Semantics for Abstraction and Execution of Synthesized High-Level Robot Control
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1404
- Type
- D - Journal article
- DOI
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10.1109/TRO.2015.2414134
- Title of journal
- IEEE Transactions on Robotics
- Article number
- 3
- First page
- 591
- Volume
- 31
- Issue
- 3
- ISSN
- 1552-3098
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
https://doi.org/10.1109/TRO.2015.2414134
- 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
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3
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The approach advocated in the paper has now become widely used when applying GR[1] synthesis in robotics (e.g., Maniotopoulos et al. ICRA 2016 (Atlas Humanoid Robot in DARPA challenge); Alonso-Mora el al. Auton Robot 42, 2018; Wong et al. IEEE Transactions on Robotics 34(4), 2018). The technical details on how to incorporate more complex long-term goals into synthesis algorithms has also been picked up (e.g., Ehlers and Topcu, HSCC 2014; Gavran et al., ACM Transactions on Embedded Computing Systems 16(5), 2017; Hayhurst and Conner, IEEE SouthEastCon, 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -