Spectral Analysis for Long-Term Robotic Mapping
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25938013
- Type
- E - Conference contribution
- DOI
-
10.1109/ICRA.2014.6907396
- Title of conference / published proceedings
- 2014 IEEE International Conference on Robotics and Automation (ICRA)
- First page
- 3706
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- September
- Year of publication
- 2014
- 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
-
4
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was the result of a large EU FP7 project (project reference 600623). It was published at ICRA 2014 which is the highest scoring robotics venue (including conferences and journals) (https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_robotics) with an acceptance rate of 48% in 2014 (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6990872). Originality: This paper is the first to explore the idea of modelling the world as binary processes to predict future events. It has lead to notable follow-up publications such as this paper (https://scholar.google.com/scholar_url?url=https://ieeexplore.ieee.org/iel7/8860/4359257/07878680.pdf%3Fcasa_token%3DCWlH3Pi9tuQAAAAA:uyJ167kAZfWC1MCueOlKBmxTZudLbgFw51964-VlmX7O0W1xBLSwSbRd6VsoK-vQPUgZfo0Vug&hl=en&sa=T&oi=gsb-gga&ct=res&cd=0&d=15619398348070514024&ei=ET81X62rFYuayAT2uYHwCg&scisig=AAGBfm0j0SxwBtFBC0TeXfr4Havlz4-r5w). It has been evaluated in a real-world deployment of a robot in a care-home (https://scholar.google.com/scholar_url?url=https://dl.acm.org/doi/pdf/10.1145/2909824.3020228%3Fcasa_token%3DS5SextCwzb0AAAAA:Satp9WNmzEaEptks0Cstl3kamVGRxRZg8DgKY3ETNapUByIg5zGZLi_GasR1pCCqg_BaBXiv15QXcQ&hl=en&sa=T&oi=gsb-gga&ct=res&cd=0&d=16465559491504910385&ei=PkE1X8XLBIi8yQT66YLQBA&scisig=AAGBfm2MSIWWgAhm042NdfnReAKLRiioUA) and is now used for COVID prevention (https://chronorobotics.fel.cvut.cz/en/ai-vs-covid).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
