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.

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.

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.

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

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

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.

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. 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.

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.

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.

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.

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.

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.

Nepublikované přednášky

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

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

Stránka vytvořena 19.07.2019 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.