KLAŠKA, David, Antonín KUČERA, Vít MUSIL and Vojtěch ŘEHÁK. General Optimization Framework for Recurrent Reachability Objectives. Online. In Luc De Raedt. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022. Neuveden: ijcai.org, 2022, p. 4642-4648. ISBN 978-1-956792-00-3. Available from: https://dx.doi.org/10.24963/ijcai.2022/644.
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Basic information
Original name General Optimization Framework for Recurrent Reachability Objectives
Authors KLAŠKA, David (203 Czech Republic, belonging to the institution), Antonín KUČERA (203 Czech Republic, guarantor, belonging to the institution), Vít MUSIL (203 Czech Republic, belonging to the institution) and Vojtěch ŘEHÁK (203 Czech Republic, belonging to the institution).
Edition Neuveden, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, p. 4642-4648, 7 pp. 2022.
Publisher ijcai.org
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Paper URL
RIV identification code RIV/00216224:14330/22:00126564
Organization unit Faculty of Informatics
ISBN 978-1-956792-00-3
ISSN 1045-0823
Doi http://dx.doi.org/10.24963/ijcai.2022/644
Keywords in English recurrent reachability objectives; strategy synthesis
Tags core_A, firank_1, formela-conference
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/3/2023 11:54.
Abstract
We consider the mobile robot path planning problem for a class of recurrent reachability objectives. These objectives are parameterized by the expected time needed to visit one position from another, the expected square of this time, and also the frequency of moves between two neighboring locations. We design an efficient strategy synthesis algorithm for recurrent reachability objectives and demonstrate its functionality on non-trivial instances.
Links
CZ.02.2.69/0.0/0.0/18_053/0016952, interní kód MU
(CEP code: EF18_053/0016952)
Name: Postdoc2MUNI
Investor: Ministry of Education, Youth and Sports of the CR, Priority axis 2: Development of universities and human resources for research and development
EF18_053/0016952, research and development projectName: Postdoc2MUNI
GA21-24711S, research and development projectName: Efektivní analýza a optimalizace pravděpodobnostních systémů a her (Acronym: Efektivní analýza a optimalizace pravděpodobnostní)
Investor: Czech Science Foundation
MUNI/A/1145/2021, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace XI. (Acronym: SV-FI MAV XI.)
Investor: Masaryk University
MUNI/A/1230/2021, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 22 (Acronym: SKOMU)
Investor: Masaryk University
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