TŮMOVÁ, Jana, Gavin HALL, Sertac KARAMAN, Emilio FRAZZOLI and Daniela RUS. Least-violating control strategy synthesis with safety rules. In Proceedings of the 16th international conference on Hybrid systems: computation and control. New York, NY, USA: ACM. p. 1-10. ISBN 978-1-4503-1567-8. doi:10.1145/2461328.2461330. 2013.
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Basic information
Original name Least-violating control strategy synthesis with safety rules
Authors TŮMOVÁ, Jana (203 Czech Republic, guarantor, belonging to the institution), Gavin HALL (840 United States of America), Sertac KARAMAN (840 United States of America), Emilio FRAZZOLI (840 United States of America) and Daniela RUS (840 United States of America).
Edition New York, NY, USA, Proceedings of the 16th international conference on Hybrid systems: computation and control, p. 1-10, 10 pp. 2013.
Publisher ACM
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/13:00071898
Organization unit Faculty of Informatics
ISBN 978-1-4503-1567-8
Doi http://dx.doi.org/10.1145/2461328.2461330
Keywords in English control strategy synthesis; temporal logic; formal methods; least-violating planning; robot path planning
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2014 09:00.
Abstract
We consider the problem of automatic control strategy synthesis, for discrete models of robotic systems, to fulfill a task that requires reaching a goal state while obeying a given set of safety rules. In this paper, we focus on the case when the said task is not feasible without temporarily violating some of the rules. We propose an algorithm that {synthesizes} a motion which violates only lowest priority rules for the shortest amount of time. Although the proposed algorithm can be applied in a variety of control problems, throughout the paper, we motivate this problem with an autonomous car navigating in an urban environment while abiding by the rules of the road, such as "always stay in the right lane" and "do not enter the sidewalk." We evaluate the algorithm on a case study with several illustrative scenarios.
Links
LH11065, research and development projectName: Řízení a ověřování vlastností komplexních hybridních systémů (Acronym: Řízení a ověřování vlastností komplexních hybridní)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0760/2012, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace II. (Acronym: FI MAV II.)
Investor: Masaryk University, Category A
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