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  • Our goal in this paper is to plan the motion of a robot in a partitioned environment with dynamically changing, locally sensed rewards. The robot aims to accomplish a highlevel temporal logic surveillance mission and to locally optimize the collection of the rewards in the visited regions. These two objectives often conflict and only a compromise between them can be reached. We address this issue by taking into consideration a user-defined preference function that captures the trade-off between the importance of collecting high rewards and the importance of making progress towards a surveyed region. Our solution leverages ideas from the automata-based approach to model checking. We demonstrate the utilization of the suggested framework in an illustrative example.
  • Our goal in this paper is to plan the motion of a robot in a partitioned environment with dynamically changing, locally sensed rewards. The robot aims to accomplish a highlevel temporal logic surveillance mission and to locally optimize the collection of the rewards in the visited regions. These two objectives often conflict and only a compromise between them can be reached. We address this issue by taking into consideration a user-defined preference function that captures the trade-off between the importance of collecting high rewards and the importance of making progress towards a surveyed region. Our solution leverages ideas from the automata-based approach to model checking. We demonstrate the utilization of the suggested framework in an illustrative example. (en)
Title
  • Attraction-Based Receding Horizon Path Planning with Temporal Logic Constraints
  • Attraction-Based Receding Horizon Path Planning with Temporal Logic Constraints (en)
skos:prefLabel
  • Attraction-Based Receding Horizon Path Planning with Temporal Logic Constraints
  • Attraction-Based Receding Horizon Path Planning with Temporal Logic Constraints (en)
skos:notation
  • RIV/00216224:14330/12:00073386!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/11/0312), P(GD102/09/H042), P(LH11065)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 124056
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00073386
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • receding horizon planning; formal methods; control strategy synthesis; linear temporal logic; optimal planning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [273AAD3D0799]
http://linked.open...v/mistoKonaniAkce
  • Maui, Hawaii
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 51st IEEE Conference on Decision and Control
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Barnat, Jiří
  • Černá, Ivana
  • Tůmová, Jana
  • Svoreňová, Mária
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0191-2216
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CDC.2012.6426041
http://purl.org/ne...btex#hasPublisher
  • Omnipress for the IEEE Control Systems Society
https://schema.org/isbn
  • 9781467320665
http://localhost/t...ganizacniJednotka
  • 14330
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