13136 / 13141 - Publications - 2019

13136 / 13141 - Artificial Intelligence Center

Publications 2019

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

PĚNIČKA, R., J. FAIGL, and 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, and 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. and 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, and 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, and 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.

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.

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.

Papers in Other Journals

PĚNIČKA, R., J. FAIGL, and 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. Available from: 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. Available from: https://www.mdpi.com/1424-8220/19/5/989

KOVAŘÍK, V. and 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. Available from: https://www.sciencedirect.com/science/article/pii/S0167404819300689

FAIGL, J., P. VÁŇA, and 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.

Books, Book Chapters and Lecture Notes

ŠUSTR, M., V. KOVAŘÍK, and 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. Available from: 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. vol. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Available from: https://2019.dasconline.org/

Conference Proceedings

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. p. 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. p. 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. p. 350-356. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/50. Available from: https://www.ijcai.org/proceedings/2019/50

CUCHÝ, M., M. ŠTOLBA, and 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. p. 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, and 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. p. 327-340. ISSN 1865-0929. ISBN 978-3-030-20786-1. DOI 10.1007/978-3-030-20787-8_23.

FAIGL, J., P. VÁŇA, and 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. p. 3039-3044. ISSN 2577-087X. ISBN 978-1-5386-6027-0. DOI 10.1109/ICRA.2019.8794339. Available from: https://ieeexplore.ieee.org/document/8794339

CHRPA, L., M. VALLATI, and 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. p. 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. p. 137-148. ISSN 2194-5357. ISBN 978-3-319-97084-4. DOI 10.1007/978-3-319-97085-1_14.

HORÁK, K. and 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. p. 2029-2036. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33012029.

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. Available from: http://www.roboticsproceedings.org/rss15/p40.html

SZADKOWSKI, R., J. DRCHAL, and 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. p. 271-281. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_27.

PAČES, P. and 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. p. 1-1274. 1. vol. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Available from: 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. Available from: https://ieeexplore.ieee.org/abstract/document/8870909

VALLATI, M., L. CHRPA, and 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. p. 453-460. ISSN 0302-9743. ISBN 978-3-030-22749-4.

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. p. 2620-2626. ISSN 1050-4729. ISBN 978-1-5386-6026-3. DOI 10.1109/ICRA.2019.8793534. Available from: https://ieeexplore.ieee.org/document/8793534

PRÁGR, M., P. ČÍŽEK, and 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. p. 412-421. LNCS. vol. 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. p. 406-409. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00051. Available from: https://ieeexplore.ieee.org/document/8802391

JANISCH, J., T. PEVNÝ, and 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. p. 3959-3966. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33013959.

CHRPA, L. and 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. p. 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. p. 456-476. LNCS. vol. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_34.

ARVIN, F., T. KRAJNÍK, and 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. p. 351-364. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_26.

FAIGL, J. and 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. p. 166-176. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_17.

VALEROS, V., M. RIGAKI, and 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. p. 464-473. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00058. Available from: https://ieeexplore.ieee.org/abstract/document/8802467

Unpublished Lectures

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

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

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

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

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

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