13133 / 13167 - Multi-robot Systems

Publications 2020

Papers in WoS Journals

SASKA, M., et al. Formation control of unmanned micro aerial vehicles for straitened environments. Autonomous Robots. 2020, 44(6), 991-1008. ISSN 1573-7527. DOI 10.1007/s10514-020-09913-0. Available from: https://link.springer.com/article/10.1007%2Fs10514-020-09913-0

VONÁSEK, V., R. PĚNIČKA, and B. KOZLÍKOVÁ. Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning. Journal of Intelligent and Robotic Systems. 2020, 100 1527-1543. ISSN 0921-0296. DOI 10.1007/s10846-020-01247-4.

PETRÁČEK, P., V. KRÁTKÝ, and M. SASKA. Dronument: System for Reliable Deployment of Micro Aerial Vehicles in Dark Areas of Large Historical Monuments. IEEE Robotics and Automation Letters. 2020, 5(2), 2078-2085. ISSN 2377-3766. DOI 10.1109/LRA.2020.2969935. Available from: https://ieeexplore.ieee.org/document/8972370

KRÁTKÝ, V., et al. Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. 2020, 5(2), 2302-2309. ISSN 2377-3766. DOI 10.1109/LRA.2020.2970646. Available from: https://ieeexplore.ieee.org/document/8977312

VRBA, M. and M. SASKA. Marker-Less Micro Aerial Vehicle Detection and Localization Using Convolutional Neural Networks. IEEE Robotics and Automation Letters. 2020, 5(2), 2459-2466. ISSN 2377-3766. DOI 10.1109/LRA.2020.2972819. Available from: https://ieeexplore.ieee.org/document/8988144

AHAJJAM, A., et al. MORED: A Moroccan Buildings’ Electricity Consumption Dataset. Energies. 2020, 13(24), ISSN 1996-1073. DOI 10.3390/en13246737. Available from: https://www.mdpi.com/1996-1073/13/24/6737

FURMANOVÁ, K., et al. DockVis: Visual Analysis of Molecular Docking Trajectories. Computer Graphics Forum. 2020, 39(6), 452-464. ISSN 1467-8659. DOI 10.1111/cgf.14048. Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.14048

SAIKIN, D., et al. Wildfire Fighting by Unmanned Aerial System Exploiting Its Time-Varying Mass. IEEE Robotics and Automation Letters. 2020, 5(2), 2674-2681. ISSN 2377-3766. DOI 10.1109/LRA.2020.2972827. Available from: https://ieeexplore.ieee.org/document/8989795

ŠTIBINGER, P., T. BÁČA, and M. SASKA. Localization of Ionizing Radiation Sources by Cooperating Micro Aerial Vehicles With Pixel Detectors in Real-Time. IEEE Robotics and Automation Letters. 2020, 5(2), 3634-3641. ISSN 2377-3766. DOI 10.1109/LRA.2020.2978456. Available from: https://ieeexplore.ieee.org/document/9024023

PETRLÍK, M., et al. A Robust UAV System for Operations in a Constrained Environment. IEEE Robotics and Automation Letters. 2020, 5(2), 2169-2176. ISSN 2377-3766. DOI 10.1109/LRA.2020.2970980. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8979150

Conference Proceedings

ROUČEK, T., et al. DARPA Subterranean Challenge: Multi-robotic exploration of underground environments. In: 6th International Workshop on Modelling and Simulation for Autonomous Systems. MESAS 2019 - Modelling & Simulation for Autonomous Systems, Palermo, 2019-10-29/2019-10-31. Wien: Springer, 2020. p. 274-290. ISSN 1611-3349. ISBN 9783030438890. DOI 10.1007/978-3-030-43890-6_22. Available from: https://link.springer.com/chapter/10.1007%2F978-3-030-43890-6_22

UZAKOV, T., T. PEREIRA DO NASCIMENTO, and M. SASKA. UAV Vision-Based Nonlinear Formation Control Applied to Inspection of Electrical Power Lines. In: International Conference on Unmanned Aircraft Systems (ICUAS). Athens, 2020-09-01/2020-09-04. Vancouver: IEEE, 2020. p. 1301-1308. ISSN 2575-7296. ISBN 978-1-7281-4278-4. DOI 10.1109/ICUAS48674.2020.9213967. Available from: https://ieeexplore.ieee.org/document/9213967

AHMAD, A., V. VONÁSEK, and M. SASKA. Cooperative path planning for multiple MAVs operating in unknown environments. In: International Conference on Unmanned Aircraft Systems (ICUAS). Athens, 2020-09-01/2020-09-04. Vancouver: IEEE, 2020. p. 661-667. ISSN 2575-7296. ISBN 978-1-7281-4278-4. DOI 10.1109/ICUAS48674.2020.9213896. Available from: https://ieeexplore.ieee.org/document/9213896

NEDUNGADI, A. and M. SASKA. Design of an Active-Reliable Grasping Mechanism for Autonomous Unmanned Aerial Vehicles. In: 6th International Workshop on Modelling and Simulation for Autonomous Systems. MESAS 2019 - Modelling & Simulation for Autonomous Systems, Palermo, 2019-10-29/2019-10-31. Wien: Springer, 2020. p. 162-179. ISSN 1611-3349. ISBN 9783030438890. DOI 10.1007/978-3-030-43890-6_13. Available from: https://link.springer.com/chapter/10.1007%2F978-3-030-43890-6_13

PEREIRA DO NASCIMENTO, T. and M. SASKA. Fast Nonlinear Model Predictive Control for Very-Small Aerial Vehicles. In: International Conference on Unmanned Aircraft Systems (ICUAS). Athens, 2020-09-01/2020-09-04. Vancouver: IEEE, 2020. p. 523-528. ISSN 2575-7296. ISBN 978-1-7281-4278-4. DOI 10.1109/ICUAS48674.2020.9213924. Available from: https://ieeexplore.ieee.org/document/9213924

WALTER, V., M. VRBA, and M. SASKA. On training datasets for machine learning-based visual relative localization of micro-scale UAVs. In: IEEE International Conference on Robotics and Automation (ICRA). 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020-05-31/2020-08-31. IEEE Xplore, 2020. p. 10674-10680. ISSN 2577-087X. ISBN 978-1-7281-7395-5. DOI 10.1109/ICRA40945.2020.9196947. Available from: https://ieeexplore.ieee.org/document/9196947