[{"department":[{"_id":"KrCh"}],"title":"Temporal logic motion planning using POMDPs with parity objectives: Case study paper","publist_id":"5453","author":[{"last_name":"Svoreňová","full_name":"Svoreňová, Mária","first_name":"Mária"},{"last_name":"Chmelik","full_name":"Chmelik, Martin","first_name":"Martin","id":"3624234E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Kevin","last_name":"Leahy","full_name":"Leahy, Kevin"},{"last_name":"Eniser","full_name":"Eniser, Hasan","first_name":"Hasan"},{"first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","orcid":"0000-0002-4561-241X","full_name":"Chatterjee, Krishnendu"},{"first_name":"Ivana","last_name":"Cěrná","full_name":"Cěrná, Ivana"},{"first_name":"Cǎlin","last_name":"Belta","full_name":"Belta, Cǎlin"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"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.","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 Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, 233–38. ACM, 2015. https://doi.org/10.1145/2728606.2728617.","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.","ieee":"M. Svoreňová et al., “Temporal logic motion planning using POMDPs with parity objectives: Case study paper,” in Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, Seattle, WA, United States, 2015, pp. 233–238.","ama":"Svoreňová M, Chmelik M, Leahy K, et al. Temporal logic motion planning using POMDPs with parity objectives: Case study paper. In: Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control. ACM; 2015:233-238. doi:10.1145/2728606.2728617","apa":"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. In Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control (pp. 233–238). Seattle, WA, United States: ACM. https://doi.org/10.1145/2728606.2728617","mla":"Svoreňová, Mária, et al. “Temporal Logic Motion Planning Using POMDPs with Parity Objectives: Case Study Paper.” Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, ACM, 2015, pp. 233–38, doi:10.1145/2728606.2728617."},"date_updated":"2021-01-12T06:52:33Z","project":[{"grant_number":"P 23499-N23","name":"Modern Graph Algorithmic Techniques in Formal Verification","_id":"2584A770-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"call_identifier":"FWF","_id":"25832EC2-B435-11E9-9278-68D0E5697425","grant_number":"S 11407_N23","name":"Rigorous Systems Engineering"},{"grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications","_id":"2581B60A-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"status":"public","type":"conference","conference":{"name":"HSCC: Hybrid Systems - Computation and Control","end_date":"2015-04-16","location":"Seattle, WA, United States","start_date":"2015-04-14"},"_id":"1691","doi":"10.1145/2728606.2728617","date_published":"2015-04-14T00:00:00Z","date_created":"2018-12-11T11:53:29Z","ec_funded":1,"page":"233 - 238","day":"14","language":[{"iso":"eng"}],"publication":"Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control","publication_status":"published","year":"2015","month":"04","publisher":"ACM","scopus_import":1,"oa_version":"None","abstract":[{"text":"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.","lang":"eng"}]}]