Vít Krátký

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Email:
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Position:
PhD student
Room:
KN:E-118
Education:   2019 - Ing. (=M.Sc.) Cybernetics and Robotics, FEE, Czech Technical University in Prague, supervisor V. Spurný
     
Current projects:   NAKI II - Dron & monument (2018-now)
     
Research Interest:   Unmanned Aerial Vehicles, Multi-robot systems, Cooperating robots
Publications:  

  1. V Krátký, P Petráček, V Spurný and M Saska. Autonomous Reflectance Transformation Imaging by Team of Unmanned Aerial Vehicles. In IEEE Robotics and Automation Letters (In Press: Accepted for publication on January 15, 2020). PDF BibTeX

    @inproceedings{ral2020kratky,
	author = "V. {Kr\'{a}tk\'{y}} and P. {Petr\'{a}\v{c}ek} and V. {Spurn\'{y}} and M. {Saska}",
	booktitle = "IEEE Robotics and Automation Letters (In Press: Accepted for publication on January 15, 2020)",
	title = "{Autonomous Reflectance Transformation Imaging by Team of Unmanned Aerial Vehicles}",
	pdf = "data/papers/kratky2020ral.pdf"
}

  2. P Petráček, V Krátký and M Saska. Dronument: System for Reliable Deployment of Micro Aerial Vehicles in Dark Areas of Large Historical Monuments. In IEEE Robotics and Automation Letters (In Press: Accepted for publication on January 7, 2020). PDF BibTeX

    @inproceedings{ral2020petracek,
	author = "P. {Petr\'{a}\v{c}ek} and V. {Kr\'{a}tk\'{y}} and M. {Saska}",
	booktitle = "IEEE Robotics and Automation Letters (In Press: Accepted for publication on January 7, 2020)",
	title = "{Dronument: System for Reliable Deployment of Micro Aerial Vehicles in Dark Areas of Large Historical Monuments}",
	pdf = "data/papers/petracek2020ral.pdf"
}

  3. M Saska, V Krátký, V Spurný and T Báča. Documentation of dark areas of large historical buildings by a formation of unmanned aerial vehicles using model predictive control. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (). 2017, 1-8. URL PDF, DOI BibTeX

    @inproceedings{saska_etfa17,
	author = "M. Saska and V. Kr\'{a}tk\'{y} and V. Spurn\'{y} and T. B\'{a}\v{c}a",
	booktitle = "2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)",
	title = "Documentation of dark areas of large historical buildings by a formation of unmanned aerial vehicles using model predictive control",
	year = 2017,
	volume = "",
	number = "",
	pages = "1-8",
	keywords = "autonomous aerial vehicles;inspection;mobile radio;mobile robots;multi-robot systems;predictive control;unmanned aerial vehicles;model predictive control;unique multirobot application;indoor areas;historians;restorers;historical buildings;churches;documentation;inspection techniques;autonomous UAVs;robots;historical objects;conservationists;restoration works;robotic lightening approach;Cameras;Three-dimensional displays;Buildings;Robots;Image restoration;Lighting;Optimization",
	doi = "10.1109/ETFA.2017.8247654",
	issn = "",
	url = "http://ieeexplore.ieee.org/document/8247654/",
	pdf = "data/papers/saska17etfa.pdf",
	month = "Sep."
}