Efficiently exploring for human robot interaction : partially observable Poisson processes
| dc.contributor.author | Jovan, Ferdian | |
| dc.contributor.author | Tomy, Milan | |
| dc.contributor.author | Hawes, Nick | |
| dc.contributor.author | Wyatt, Jeremy | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2023-09-18T11:32:00Z | |
| dc.date.available | 2023-09-18T11:32:00Z | |
| dc.date.issued | 2023-01 | |
| dc.description | The funding was provided by the FP7 Information and Communication Technologies; Engineering and Physical Sciences Research Council | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 18 | |
| dc.format.extent | 2640902 | |
| dc.identifier | 276190192 | |
| dc.identifier | 2b7ff0b5-e22f-4726-9851-9e5c2b417db7 | |
| dc.identifier | 85140914162 | |
| dc.identifier.citation | Jovan, F, Tomy, M, Hawes, N & Wyatt, J 2023, 'Efficiently exploring for human robot interaction : partially observable Poisson processes', Autonomous Robots, vol. 47, pp. 121-138. https://doi.org/10.1007/s10514-022-10070-9 | en |
| dc.identifier.doi | 10.1007/s10514-022-10070-9 | |
| dc.identifier.issn | 0929-5593 | |
| dc.identifier.other | Bibtex: jovan2023efficiently | |
| dc.identifier.other | ORCID: /0000-0003-4911-540X/work/142569227 | |
| dc.identifier.uri | https://hdl.handle.net/2164/21690 | |
| dc.identifier.vol | 47 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Autonomous Robots | en |
| dc.subject | Bayesian estimators | en |
| dc.subject | Poisson processes | en |
| dc.subject | Exploration-exploitation | en |
| dc.subject | Human robot interaction | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Engineering and Physical Sciences Research Council (EPSRC) | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Efficiently exploring for human robot interaction : partially observable Poisson processes | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Jovan_etal_AR_Efficiently_Exploring_for_VOR.pdf
- Size:
- 2.52 MB
- Format:
- Adobe Portable Document Format