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<titleInfo><title>Temporal logic motion planning using POMDPs with parity objectives: Case study paper</title></titleInfo>


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<name type="personal">
  <namePart type="given">Mária</namePart>
  <namePart type="family">Svoreňová</namePart>
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  <namePart type="given">Martin</namePart>
  <namePart type="family">Chmelik</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">3624234E-F248-11E8-B48F-1D18A9856A87</identifier></name>
<name type="personal">
  <namePart type="given">Kevin</namePart>
  <namePart type="family">Leahy</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Hasan</namePart>
  <namePart type="family">Eniser</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Krishnendu</namePart>
  <namePart type="family">Chatterjee</namePart>
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<name type="personal">
  <namePart type="given">Ivana</namePart>
  <namePart type="family">Cěrná</namePart>
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<name type="personal">
  <namePart type="given">Cǎlin</namePart>
  <namePart type="family">Belta</namePart>
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  <namePart>HSCC: Hybrid Systems - Computation and Control</namePart>
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  <namePart>Modern Graph Algorithmic Techniques in Formal Verification</namePart>
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  <namePart>Rigorous Systems Engineering</namePart>
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  <namePart>Quantitative Graph Games: Theory and Applications</namePart>
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<abstract lang="eng">We consider a case study of the problem of deploying an autonomous air vehicle in a partially observable, dynamic, indoor environment from a specification given as a linear temporal logic (LTL) formula over regions of interest. We model the motion and sensing capabilities of the vehicle as a partially observable Markov decision process (POMDP). We adapt recent results for solving POMDPs with parity objectives to generate a control policy. We also extend the existing framework with a policy minimization technique to obtain a better implementable policy, while preserving its correctness. The proposed techniques are illustrated in an experimental setup involving an autonomous quadrotor performing surveillance in a dynamic environment.</abstract>

<originInfo><publisher>ACM</publisher><dateIssued encoding="w3cdtf">2015</dateIssued><place><placeTerm type="text">Seattle, WA, United States</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control</title></titleInfo><identifier type="doi">10.1145/2728606.2728617</identifier>
<part><extent unit="pages">233 - 238</extent>
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<ista>Svoreňová M, Chmelik M, Leahy K, Eniser H, Chatterjee K, Cěrná I, Belta C. 2015. Temporal logic motion planning using POMDPs with parity objectives: Case study paper. Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control. HSCC: Hybrid Systems - Computation and Control, 233–238.</ista>
<mla>Svoreňová, Mária, et al. “Temporal Logic Motion Planning Using POMDPs with Parity Objectives: Case Study Paper.” &lt;i&gt;Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control&lt;/i&gt;, ACM, 2015, pp. 233–38, doi:&lt;a href=&quot;https://doi.org/10.1145/2728606.2728617&quot;&gt;10.1145/2728606.2728617&lt;/a&gt;.</mla>
<short>M. Svoreňová, M. Chmelik, K. Leahy, H. Eniser, K. Chatterjee, I. Cěrná, C. Belta, in:, Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, ACM, 2015, pp. 233–238.</short>
<chicago>Svoreňová, Mária, Martin Chmelik, Kevin Leahy, Hasan Eniser, Krishnendu Chatterjee, Ivana Cěrná, and Cǎlin Belta. “Temporal Logic Motion Planning Using POMDPs with Parity Objectives: Case Study Paper.” In &lt;i&gt;Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control&lt;/i&gt;, 233–38. ACM, 2015. &lt;a href=&quot;https://doi.org/10.1145/2728606.2728617&quot;&gt;https://doi.org/10.1145/2728606.2728617&lt;/a&gt;.</chicago>
<ama>Svoreňová M, Chmelik M, Leahy K, et al. Temporal logic motion planning using POMDPs with parity objectives: Case study paper. In: &lt;i&gt;Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control&lt;/i&gt;. ACM; 2015:233-238. doi:&lt;a href=&quot;https://doi.org/10.1145/2728606.2728617&quot;&gt;10.1145/2728606.2728617&lt;/a&gt;</ama>
<ieee>M. Svoreňová &lt;i&gt;et al.&lt;/i&gt;, “Temporal logic motion planning using POMDPs with parity objectives: Case study paper,” in &lt;i&gt;Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control&lt;/i&gt;, Seattle, WA, United States, 2015, pp. 233–238.</ieee>
<apa>Svoreňová, M., Chmelik, M., Leahy, K., Eniser, H., Chatterjee, K., Cěrná, I., &amp;#38; Belta, C. (2015). Temporal logic motion planning using POMDPs with parity objectives: Case study paper. In &lt;i&gt;Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control&lt;/i&gt; (pp. 233–238). Seattle, WA, United States: ACM. &lt;a href=&quot;https://doi.org/10.1145/2728606.2728617&quot;&gt;https://doi.org/10.1145/2728606.2728617&lt;/a&gt;</apa>
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