13136 / 13141 - Publikace - 2019

13136 / 13141 - centrum umělé inteligence

Publikační činnost 2019

Knihy, kapitoly v knihách a skripta, dizertace, výzkumné zprávy, nepublikované přednášky, stati ve sbornících, články v časopisech, patenty

Články v časopisech WoS

PĚNIČKA, R., J. FAIGL a M. SASKA. Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. European Journal of Operational Research. 2019, 276(3), 816-825. ISSN 0377-2217. DOI 10.1016/j.ejor.2019.01.047.

PĚNIČKA, R. et al. Data Collection Planning with Non-zero Sensing Distance for a Budget and Curvature Constrained Unmanned Aerial Vehicle. Autonomous Robots. 2019, 43(8), 1937-1956. ISSN 0929-5593. DOI 10.1007/s10514-019-09844-5.

DRCHAL, J., M. ČERTICKÝ a M. JAKOB. Data-driven Activity Scheduler for Agent-based Mobility Models. Transportation Research Part C: Emerging Technologies. 2019, 98 370-390. ISSN 0968-090X. DOI 10.1016/j.trc.2018.12.002.

FAIGL, J. Data collection path planning with spatially correlated measurements using growing self-organizing array. Applied Soft Computing. 2019, 75 130-147. ISSN 1568-4946. DOI 10.1016/j.asoc.2018.11.005.

FAIGL, J. a P. ČÍŽEK. Adaptive locomotion control of hexapod walking robot for traversing rough terrains with position feedback only. Robotics and Autonomous Systems. 2019, 116 136-147. ISSN 0921-8890. DOI 10.1016/j.robot.2019.03.008.

SELECKÝ, M., J. FAIGL a M. ROLLO. Analysis of Using Mixed Reality Simulations for Incremental Development of Multi-UAV Systems. Journal of Intelligent and Robotic Systems. 2019, 95(1), 1-211. ISSN 0921-0296. DOI 10.1007/s10846-018-0875-8.

CHRPA, L., M. VALLATI a T.L. MCCLUSKEY. Inner Entanglements: Narrowing the Search in Classical Planning by Problem Reformulation. Computational Intelligence. 2019, 35(2), 395-429. ISSN 0824-7935. DOI 10.1111/coin.12203.

FAIGL, J. et al. Unsupervised learning‐based flexible framework for surveillance planning with aerial vehicles. Journal of Field Robotics. 2019, 36(1), 270-301. ISSN 1556-4959. DOI 10.1002/rob.21823.

SPURNÝ, V. et al. Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics. 2019, 36(1), 125-148. ISSN 1556-4959. DOI 10.1002/rob.21816.

ŠTĚPÁN, P. et al. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics. 2019, 36(1), 252-269. ISSN 1556-4959. DOI 10.1002/rob.21850.

Články v ostatních periodikách

PĚNIČKA, R., J. FAIGL a M. SASKA. Physical Orienteering Problem for Unmanned Aerial Vehicle Data Collection Planning in Environments with Obstacles. IEEE Robotics and Automation Letters. 2019, 4(3), 3005-3012. ISSN 2377-3766. DOI 10.1109/LRA.2019.2923949. Dostupné z: https://ieeexplore.ieee.org/document/8741059

HORÁK, K. et al. Optimizing Honeypot Strategies Against Dynamic Lateral Movement Using Partially Observable Stochastic Games. Computers & Security. 2019, 87 ISSN 0167-4048. DOI 10.1016/j.cose.2019.101579.

ČERTICKÝ, M. et al. Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment. Sensors. 2019, 19(5), 1-21. ISSN 1424-8220. DOI 10.3390/s19050989. Dostupné z: https://www.mdpi.com/1424-8220/19/5/989

KRAJNÍK, T. et al. Warped Hypertime Representations for Long-term Autonomy of Mobile Robots. IEEE Robotics and Automation Letters. 2019, 1-7. ISSN 2377-3766. DOI 10.1109/LRA.2019.2926682. Dostupné z: https://ieeexplore.ieee.org/document/8754723

KOVAŘÍK, V. a V. LISÝ. Analysis of Hannan consistent selection for Monte Carlo tree search in simultaneous move games. Machine Learning. 2019, ISSN 0885-6125. DOI 10.1007/s10994-019-05832-z.

DURKOTA, K. et al. Hardening networks against strategic attackers using attack graph games. Computers & Security. 2019,(87), ISSN 0167-4048. DOI 10.1016/j.cose.2019.101578. Dostupné z: https://www.sciencedirect.com/science/article/pii/S0167404819300689

FAIGL, J., P. VÁŇA a J. DECKEROVÁ. Fast Heuristics for the 3-D Multi-Goal Path Planning Based on the Generalized Traveling Salesman Problem With Neighborhoods. IEEE Robotics and Automation Letters. 2019, 4(3), 2439-2446. ISSN 2377-3766. DOI 10.1109/LRA.2019.2900507.

Knihy, kapitoly v knihách, skripta, sborníky

ŠUSTR, M., V. KOVAŘÍK a V. LISÝ, eds. Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. Montreal, 2019-05-13/2019-05-17. County of Richland: IFAAMAS, 2019. ISSN 2523-5699. ISBN 978-1-4503-6309-9. Dostupné z: http://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm

ROY, A. et al., eds. IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). San Diego, Californie, 2019-09-08/2019-09-12. Irvine, CA: IEEE, 2019. 1. sv. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Dostupné z: https://2019.dasconline.org/

Stati ve sbornících konferencí

VINTR, T. et al. Spatiotemporal Models of Human Activity for Robotic Patrolling. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 54-64. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_5.

MAJER, F. et al. Learning to See Through Haze: Radar-based Human Detection for Adverse Weather Conditions. In: Proceedings of European Conference on Mobile Robots. European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. Prague: Czech Technical University, 2019. ISBN 978-1-7281-3606-6. DOI 10.1109/ECMR.2019.8870954.

MAJER, F. et al. A Versatile Visual Navigation System for Autonomous Vehicles. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 90-110. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_8.

HORÁK, K. et al. Compact Representation of Value Function in Partially Observable Stochastic Games. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. IJCAI 2019: 28th International Joint Conference on Artificial Intelligence, Macau, 2019-08-10/2019-08-16. International Joint Conferences on Artificial Intelligence Organization, 2019. s. 350-356. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/50. Dostupné z: https://www.ijcai.org/proceedings/2019/50

CUCHÝ, M., M. ŠTOLBA a M. JAKOB. Integrated Route, Charging and Activity Planning for Whole Day Mobility with Electric Vehicles. In: Agents and Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ICAART 2018: the 10th International Conference on Agents and Artificial Intelligence, Funchal, Madeira, 2018-01-16/2018-12-18. Basel: Springer Nature Switzerland AG, 2019. s. 274-289. 11352. ISSN 0302-9743. ISBN 978-3-030-05452-6. DOI 10.1007/978-3-030-05453-3_13.

VINTR, T. et al. Spatio-temporal Representation of Time-varying Pedestrian Flows. In: Long-term Human Motion Prediction Workshop ICRA 2019. Montreal, 2019-05-24. Piscataway: IEEE Robotics and Automation Society, 2019.

CATANIA, C., S. GARCÍA a P. TORRES. Deep Convolutional Neural Networks for DGA Detection. In: Computer Science - CACIS 2018. 24th Argentine Congress on Computer Science, Tandil, 2018-10-08/2018-10-12. Düsseldorf: Springer VDI Verlag, 2019. s. 327-340. ISSN 1865-0929. ISBN 978-3-030-20786-1. DOI 10.1007/978-3-030-20787-8_23.

FAIGL, J., P. VÁŇA a R. PĚNIČKA. Multi-Vehicle Close Enough Orienteering Problem with Bézier Curves for Multi-Rotor Aerial Vehicles. In: Proceedings of 2019 International Conference on Robotics and Automation. 2019 IEEE International Conference on Robotics and Automation, Montreal, 2019-05-20/2019-05-24. IEEE Xplore, 2019. s. 3039-3044. ISSN 2577-087X. ISBN 978-1-5386-6027-0. DOI 10.1109/ICRA.2019.8794339. Dostupné z: https://ieeexplore.ieee.org/document/8794339

CHRPA, L., M. VALLATI a S. PARKINSON. Exploiting Automated Planning for Efficient Centralized Vehicle Routing and Mitigating Congestion in Urban Road Networks. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 34th Annual ACM Symposium on Applied Computing, Limassol, 2019-04-08/2019-04-12. New York: ACM, 2019. s. 191-194. ISBN 978-1-4503-5933-7. DOI 10.1145/3297280.3297539.

BREJCHOVÁ, K. et al. Two-Stage Approach for Long-Term Motivation of Children to Study Robotics. In: Advances in Intelligent Systems and Computing. 9th International Conference on Robotics in Education, Malta, 2018-04-18/2018-04-20. Düsseldorf: Springer-VDI-Verlag, 2019. s. 137-148. ISSN 2194-5357. ISBN 978-3-319-97084-4. DOI 10.1007/978-3-319-97085-1_14.

PRÁGR, M. et al. Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration. In: Online Proceedings of Robotics Science and Systems. Robotics: Science and Systems, Freiburg, 2019-06-22/2019-06-26. Freiburg im Breisgau: Albert Ludwig University of Freiburg, 2019. ISBN 978-0-9923747-5-4. DOI 10.15607/RSS.2019.XV.040. Dostupné z: http://www.roboticsproceedings.org/rss15/p40.html

SZADKOWSKI, R., J. DRCHAL a J. FAIGL. Autoencoders Covering Space as a Life-Long Classifier. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 13th International Workshop on Self-Organizing Maps, Barcelona, 2019-06-26/2019-06-28. Düsseldorf: Springer-VDI-Verlag, 2019. s. 271-281. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_27.

HORÁK, K. a B. BOŠANSKÝ. Solving Partially Observable Stochastic Games with Public Observations. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, 2019-01-27/2019-02-01. Menlo Park, California: AAAI Press, 2019. s. 2029-2036. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33012029.

PAČES, P. a V. UDATNÝ. Comparison of Flight-Planning Algorithms in View of Certification Requirements. In: ROY, A. et al., eds. IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). 38th Digital Avionics System Conference (DASC), San Diego, Californie, 2019-09-08/2019-09-12. Irvine, CA: IEEE, 2019. s. 1-1274. 1. sv. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Dostupné z: https://2019.dasconline.org/

VINTR, T. et al. Time-varying Pedestrian Flow Models for Service Robots. In: Proceedings of European Conference on Mobile Robots. European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. Prague: Czech Technical University, 2019. ISBN 978-1-7281-3605-9. DOI 10.1109/ECMR.2019.8870909. Dostupné z: https://ieeexplore.ieee.org/abstract/document/8870909

VINTR, T. et al. Spatio-temporal Representation for Long-term Anticipation of Human Presence in Service Robotics. In: Proceedings of 2019 International Conference on Robotics and Automation. 2019 IEEE International Conference on Robotics and Automation, Montreal, 2019-05-20/2019-05-24. IEEE Xplore, 2019. s. 2620-2626. ISSN 1050-4729. ISBN 978-1-5386-6026-3. DOI 10.1109/ICRA.2019.8793534. Dostupné z: https://ieeexplore.ieee.org/document/8793534

VALLATI, M., L. CHRPA a D. KITCHIN. How to Plan Roadworks in Urban Regions? A Principled Approach Based on AI Planning. In: Computational Science - ICCS 2019. 19th International Conference on Computational Science 2019, Faro, 2019-06-12/2019-06-14. Cham: Springer, 2019. s. 453-460. ISSN 0302-9743. ISBN 978-3-030-22749-4.

PRÁGR, M., P. ČÍŽEK a J. FAIGL. Incremental Learning of Traversability Cost for Aerial Reconnaissance Support to Ground Units. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. s. 412-421. LNCS. sv. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_30.

GARCÍA, S. et al. Geost Botnet. Operational Security Failures of a New Android Banking Threat. In: Proceedings of 4th IEEE European Symposium on Security and Privacy. 4th IEEE European Symposium on Security and Privacy, Stockholm, 2019-06-17/2019-06-19. IEEE Xplore, 2019. s. 406-409. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00051. Dostupné z: https://ieeexplore.ieee.org/document/8802391

JANISCH, J., T. PEVNÝ a V. LISÝ. Classification with Costly Features Using Deep Reinforcement Learning. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, 2019-01-27/2019-02-01. Menlo Park, California: AAAI Press, 2019. s. 3959-3966. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33013959.

CHRPA, L. a M. VALLATI. Improving Domain-Independent Planning via Critical Section Macro-Operators. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, 2019-01-27/2019-02-01. Menlo Park, California: AAAI Press, 2019. s. 7546-7553. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33017546.

HALODOVÁ, L. et al. Adaptive Image Processing Methods for Outdoor Autonomous Vehicles. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. s. 456-476. LNCS. sv. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_34.

ARVIN, F., T. KRAJNÍK a T.A. EMRE. PΦSS: An Open-Source Experimental Setup for Real-World Implementation of Swarm Robotic Systems in Long-Term Scenarios. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 351-364. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_26.

VALEROS, V., M. RIGAKI a S. GARCÍA. Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America. In: Proceedings of 4th IEEE European Symposium on Security and Privacy. 4th IEEE European Symposium on Security and Privacy, Stockholm, 2019-06-17/2019-06-19. IEEE Xplore, 2019. s. 464-473. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00058. Dostupné z: https://ieeexplore.ieee.org/abstract/document/8802467

FAIGL, J. a M. PRÁGR. Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 13th International Workshop on Self-Organizing Maps, Barcelona, 2019-06-26/2019-06-28. Düsseldorf: Springer-VDI-Verlag, 2019. s. 166-176. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_17.

Nepublikované přednášky

KRAJNÍK, T. Chronorobotics: Cyclic Spatio-Temporal Models for Long-term Mobile Robot Autonomy. [Nepublikovaná přednáška] Autonomus Systems Lab.. 2019-06-13.

KRAJNÍK, T. Cyclic Spatio-Temporal Models for Long-term Mobile Robot Autonomy. [Nepublikovaná přednáška] Instituto Superior Técnico. 2019-08-28.

KRAJNÍK, T. Adaptive Visual Teach and Repeat for Changing Environments. [Nepublikovaná přednáška] The University of Sydny. 2019-10-27.

KRAJNÍK, T. Robust Vision for Mobile Robots. [Nepublikovaná přednáška] Ingeniarius, Lda.. 2019-08-26.

KRAJNÍK, T. Chronorobotics: Modeling Time for Service Robots. [Nepublikovaná přednáška] Queen Mary University in London. 2019-05-31.

Stránka vytvořena 22.11.2019 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.