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author Tumova, Jana
Reyes Castro, Luis Ignacio
Karaman, Sertac
Frazzoli, Emilio
Rus, Daniela L.
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Tumova, Jana
Reyes Castro, Luis Ignacio
Karaman, Sertac
Frazzoli, Emilio
Rus, Daniela L.
author_sort Tumova, Jana
collection MIT
description Original manuscript March 15, 2013
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institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T13:20:27Z
publishDate 2013
publisher Institute of Electrical and Electronics Engineers (IEEE)
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spelling mit-1721.1/818232022-10-01T14:37:32Z Minimum-violation LTL planning with conflicting specifications Tumova, Jana Reyes Castro, Luis Ignacio Karaman, Sertac Frazzoli, Emilio Rus, Daniela L. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Reyes Castro, Luis Ignacio Karaman, Sertac Frazzoli, Emilio Rus, Daniela L. Original manuscript March 15, 2013 We consider the problem of automatic generation of control strategies for robotic vehicles given a set of high-level mission specifications, such as “Vehicle x must eventually visit a target region and then return to a base,” “Regions A and B must be periodically surveyed,” or “None of the vehicles can enter an unsafe region.” We focus on instances when all of the given specifications cannot be reached simultaneously due to their incompatibility and/or environmental constraints. We aim to find the least-violating control strategy while considering different priorities of satisfying different parts of the mission. Formally, we consider the missions given in the form of linear temporal logic formulas, each of which is assigned a reward that is earned when the formula is satisfied. Leveraging ideas from the automata-based model checking, we propose an algorithm for finding an optimal control strategy that maximizes the sum of rewards earned if this control strategy is applied. We demonstrate the proposed algorithm on an illustrative case study. United States. Air Force Office of Scientific Research (Michigan/AFRL Collaborative Center in Control Science Grant FA 8650-07-2-3744) National Science Foundation (U.S.) (Grant CNS-1016213) 2013-10-29T13:08:28Z 2013-10-29T13:08:28Z 2013-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-0178-4 http://hdl.handle.net/1721.1/81823 Tumova, Jana et al. "Minimum-violation LTL planning with conflicting specifications." IEEE American Control Conference, 2013. https://orcid.org/0000-0001-5473-3566 https://orcid.org/0000-0002-0505-1400 https://orcid.org/0000-0002-2225-7275 en_US http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6579837 Proceedings of the 2013 American Control Conference (ACC) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv
spellingShingle Tumova, Jana
Reyes Castro, Luis Ignacio
Karaman, Sertac
Frazzoli, Emilio
Rus, Daniela L.
Minimum-violation LTL planning with conflicting specifications
title Minimum-violation LTL planning with conflicting specifications
title_full Minimum-violation LTL planning with conflicting specifications
title_fullStr Minimum-violation LTL planning with conflicting specifications
title_full_unstemmed Minimum-violation LTL planning with conflicting specifications
title_short Minimum-violation LTL planning with conflicting specifications
title_sort minimum violation ltl planning with conflicting specifications
url http://hdl.handle.net/1721.1/81823
https://orcid.org/0000-0001-5473-3566
https://orcid.org/0000-0002-0505-1400
https://orcid.org/0000-0002-2225-7275
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