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Position:
PhD student
Room:
KN:E-119

 

 Google Scholar |  ResearchGate |  ORCID iD icon0009-0009-2224-750X
     
PhD topic:   Control for Agile Flight of Aerial Robots in Cluttered Environmnents
     
Research interests:   Model Predictive Control, Agile flight, Drone racing, Obstacles avoidance
     
Current projects:   TOPFLIGHT
Trajectory and Mission Planning for Agile Flight of Aerial Robots in Cluttered Environmnents
     
Past projects:   A2RL x DCL Abu Dhabi Autonomous Racing League X Drone Champions League (4th place AI Grand Challenge, 3rd place Drag Race)
  UAS 5.0 2023 First Responder UAS 3D Mapping Challenge in Kansas
       
Teaching:   Current:  Algoritmy a programování
    Past:  Flight Control Systems
     
Achievements:   1st place in research and development AI Awards 2025 (LinkedIn)
     
     
Education:  
2023 - Ing. (=M.Sc.) Cybernetics and Robotics, FEE, Czech Technical University in Prague, supervisor Tomáš Báča
  Diploma thesis: Trajectory Planning for Autonomous Landing of a Multirotor Helicopter on a Boat  (Dean's price for astounding work, 2nd place in the Werner von Siemens Prize for the best Master’s Thesis)
     
     
Publications:  
  1. Filip Novák, Tomáš Báča, Ondřej Procházka and Martin Saska. State estimation of marine vessels affected by waves by unmanned aerial vehicles. Ocean Engineering 323:120606, 2025. URL PDF, DOI BibTeX

    @article{novak2025usvStateEstimation,
    	title = "State estimation of marine vessels affected by waves by unmanned aerial vehicles",
    	author = "Filip Nov{\'{a}}k and Tom{\'{a}}{\v{s}} B{\'{a}}{\v{c}}a and Ond{\v{r}}ej Proch{\'a}zka and Martin Saska",
    	journal = "Ocean Engineering",
    	volume = 323,
    	pages = 120606,
    	year = 2025,
    	publisher = "Elsevier",
    	issn = "0029-8018",
    	doi = "10.1016/j.oceaneng.2025.120606",
    	pdf = "data/papers/2025_Ocean_Engineering_Novak.pdf",
    	url = "https://mrs.fel.cvut.cz/papers/usv-state-estimation"
    }
    
  2. Ondřej Procházka, Filip Novák, Tomáš Báča, Parakh M Gupta, Robert Pěnička and Martin Saska. Model predictive control-based trajectory generation for agile landing of unmanned aerial vehicle on a moving boat. Ocean Engineering 313:119164, 2024. PDF BibTeX

    @article{prochazka2024model,
    	title = "Model predictive control-based trajectory generation for agile landing of unmanned aerial vehicle on a moving boat",
    	author = "Proch{\'a}zka, Ond{\v{r}}ej and Nov{\'a}k, Filip and B{\'a}{\v{c}}a, Tom{\'a}{\v{s}} and Gupta, Parakh M and P{\v{e}}ni{\v{c}}ka, Robert and Saska, Martin",
    	journal = "Ocean Engineering",
    	volume = 313,
    	pages = 119164,
    	year = 2024,
    	publisher = "Elsevier",
    	pdf = "data/papers/2024_Prochazka.pdf"
    }
    
  3. Filip Novák, Tomáš Báča, Ondřej Procházka and Martin Saska. Towards UAV-USV Collaboration in Harsh Maritime Conditions Including Large Waves. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO. 2024, 545-554. URL PDF, DOI BibTeX

    @inproceedings{novakTowardsUavUsvCollaboration2024,
    	title = "Towards UAV-USV Collaboration in Harsh Maritime Conditions Including Large Waves",
    	author = "Filip Nov{\'{a}}k and Tom{\'{a}}{\v{s}} B{\'{a}}{\v{c}}a and Ond{\v{r}}ej Proch{\'{a}}zka and Martin Saska",
    	year = 2024,
    	booktitle = "Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO",
    	pages = "545-554",
    	publisher = "SciTePress",
    	organization = "INSTICC",
    	doi = "10.5220/0012910000003822",
    	isbn = "978-989-758-717-7",
    	issn = "2184-2809",
    	pdf = "data/papers/icinco2024novak.pdf",
    	url = "https://mrs.fel.cvut.cz/papers/towards-uav-usv-collaboration"
    }
    
  4. Parakh M Gupta, Ondřej Procházka, Tiago Nascimento and Martin Saska. CurviTrack: Curvilinear Trajectory Tracking for High-Speed Chase of a USV. IEEE Robotics and Automation Letters 10(4):3932-3939, 2025. PDF, DOI BibTeX

    @article{Parakh_2025,
    	author = "Gupta, Parakh M. and Procházka, Ondřej and Nascimento, Tiago and Saska, Martin",
    	journal = "IEEE Robotics and Automation Letters",
    	title = "CurviTrack: Curvilinear Trajectory Tracking for High-Speed Chase of a USV",
    	year = 2025,
    	volume = 10,
    	number = 4,
    	pages = "3932-3939",
    	doi = "10.1109/LRA.2025.3546079",
    	keywords = "Autonomous aerial vehicles;Underactuated surface vessels;Predictive models;Trajectory;Visualization;Turning;Kalman filters;Attitude control;Trajectory tracking;Training;Aerial Systems: Mechanics and Control;UAV;MPC;Optimization and Optimal Control;Multi-Robot Systems;Dynamics",
    	pdf = "data/papers/ral_curvitrack_2025.pdf"
    }
    
  5. Parakh M Gupta, Ondřej Procházka, Jan Hřebec, Matej Novosad, Robert Pěnička and Martin Saska. LoL-NMPC: Low-Level Dynamics Integration in Nonlinear Model Predictive Control for Unmanned Aerial Vehicles. In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (). 2025, 1186-1193. DOI BibTeX

    @inproceedings{11246583,
    	author = "Gupta, Parakh M. and Procházka, Ondřej and Hřebec, Jan and Novosad, Matej and Pěnička, Robert and Saska, Martin",
    	booktitle = "2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)",
    	title = "LoL-NMPC: Low-Level Dynamics Integration in Nonlinear Model Predictive Control for Unmanned Aerial Vehicles",
    	year = 2025,
    	volume = "",
    	number = "",
    	pages = "1186-1193",
    	keywords = "Actuators;Trajectory tracking;Performance gain;Autonomous aerial vehicles;Robustness;Real-time systems;Trajectory;Vehicle dynamics;Standards;Testing",
    	doi = "10.1109/IROS60139.2025.11246583"
    }
    
     
     
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