Prof. Ing. Martin Saska, Dr. rer. nat.

Martin Saska is a Full Professor at the Faculty of Electrical Engineering, Czech Technical University (CTU) in Prague. He is the founder and head of the Multi-robot Systems lab, one of the largest research groups at CTU, specializing in aerial robotics.

His work bridges cutting-edge research and real-world applications, with a strong focus on autonomous flying robots and intelligent multi-robot systems. In addition to his academic roles, he actively contributes to technology transfer and innovation. He has co-founded two companies focused on AI-driven aerial robotics, Fly4Future and Eagle.one, and serves as an advisor to several research and industrial institutions worldwide.

Widely recognized as one of leading experts in autonomous aerial systems and flying swarms, Martin Saska plays a key role in shaping the field both in the Czech Republic and internationally.

Academia and Research

Martin Saska received his M.Sc. degree from the Czech Technical University in Prague in 2005, and his Ph.D. from the University of Würzburg, Germany in 2009, as part of the prestigious Elite Network of Bavaria program. Since 2009, he has been a research fellow at CTU in Prague, where he founded and leads the Multi-Robot Systems (MRS) Laboratory, now comprising more than 40 researchers.

His international academic experience includes visiting scholar appointments at the University of Illinois at Urbana-Champaign in 2008, and multiple stays at the University of Pennsylvania in 2012, 2014, and 2016, where he collaborated with Prof. Vijay Kumar’s group within the renowned GRASP Lab.

Prof. Saska is the author or co-author of over 200 peer-reviewed conference papers – many of them recipients of Best Paper Awards – and more than 100 journal publications in impacted journals such as The International Journal of Robotics Research (IJRR), IEEE Transactions on Robotics, Robotic and Automation Magazine (RAM), and Journal of Field Robotics (JFR). His work has garnered over 8,200 citations (Google Scholar) and he currently holds an H-index of 51.

Business

Martin Saska is the co-founder of Fly4Future, a fast-growing company employing over 40 professionals in the field of AI-powered aerial robotics. Since its founding in 2018, Fly4Future has achieved consistent profitability with annual revenues reaching €3 million that was achieved without the need for external investors. The company has provided complex solutions including ready-to-fly autonomous robots and open-source SW for multi-robot systems to more than 100 clients worldwide. In recognition of its innovation and impact, Fly4Future was named Best AI Company in the Czech Republic in 2024.

The company’s technology has earned international acclaim, including winning the SPRIND Challenge in Germany, focused on GNSS-free autonomous navigation over long distances (10 km) in diverse environments such as forests, urban landscapes, and open spaces. Fly4Future also placed 3rd and 4th in the autonomous drone racing championship in Abu Dhabi, showcasing the advanced capabilities of its flight systems in dynamic, competitive settings.

Prof. Saska also co-founded Eagle.one, a company dedicated to securing critical infrastructure against unauthorized drones. The Eagle.one aerial platform leverages cutting-edge onboard machine learning to detect, predict, and intercept intruder drones using advanced sensing and autonomous trajectory planning, providing a proactive solution to protect high-security zones.

Consultancy and Advisory

Martin Saska has served as an advisor to numerous scientific institutions and industrial partners worldwide, offering expert guidance on aerial robotic systems and their deployment in real-world applications.

He played a key role in establishing a robotic team in a leading institute in the United Arab Emirates, where he advised on research strategy, laboratory design – including large indoor and outdoor aerial testing arenas – with all necessary equipment needed for cutting-edge research of aerial robotics. The institute has since grown to over 2,000 personnel and has become a prominent hub for robotics research in the region.

In Europe, Prof. Saska has consulted for two major electricity distribution companies on the implementation of autonomous aerial systems for high-voltage infrastructure inspection. He has also provided strategic advice to robotics companies in diverse sectors—including aerial firefighting, warehouse inventory automation, large-scale surveillance, and smart agriculture.

Over the years, he has acted as an external advisor for 17 international scientific and industrial projects focused on advancing autonomous aerial robotics, contributing both technical insight and long-term vision.

Awards

MBZIRC 2017
MBZIRC 2020
DARPA Subterrainean Challenge
SPRIND

In 2017, Martin Saska had the privilege of leading the Czech Technical University team in the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) – one of the world’s most prestigious and competitive robotics events, held in Abu Dhabi and organized by Khalifa University. Selected from over 140 international applicants, the team competed alongside leading institutions such as the University of Pennsylvania and the University of Lincoln.

The team achieved 1st place in the challenge focused on the cooperative collection of objects using cooperating autonomous aerial robots, and 2nd place in the autonomous landing on a moving vehicle task. These accomplishments qualified us for the Grand Challenge, where we earned the bronze medal in collaboration with the University of Padua.

MBZIRC was not only a test of advanced robotics capabilities in real-world scenarios, but also a showcase of international excellence in aerial autonomy. Achieved results reflected the strength of cross-institutional collaboration and the technical maturity of multi-robot systems that is Prof. Saska’s team continously developing.

The mission was supported by Eagle.One company.

Building on the success at the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC), Prof. Saska’s team returned to the finals of 2020 MBZIRC in Abu Dhabi, one of the most prestigious robotics competitions worldwide, featuring a prize pool and sponsorship exceeding $5 million USD. Out of over 200 teams, only 31 advanced to the finals, underscoring the intense level of competition.

At MBZIRC 2020, the team achieved outstanding results across all disciplines: 1st place in the Grand Challenge, 1st place in Challenge 2, and 2nd place in Challenge 1.

The event involved complex, real-world robotic tasks, including popping balloons and catching a moving target with with a team of cooperating UAVs (Challenge 1: 2nd place), cooperative wall-building by a team of aerial and ground robots (Challenge 2: 1st place – $250,000 prize), and extinguishing simulated fires in indoor and outdoor environments (Challenge 3: 4th place).

Our consistent top-level performance across all challenges qualified us for the Grand Challenge, where all tasks were combined and executed simultaneously with large multi-robot team. Emerging as overall winners, victory of Prof. Saska’s team at MBZIRC 2020 was a testament to the maturity, versatility, and robustness of their multi-robot systems in highly dynamic and complex environments.

Martin Saska acted as a formal leader of the UAV group within the CTU-CRAS-NORLAB team at the prestigious DARPA Subterranean (SubT) Challenge – an international competition driving innovation in autonomous exploration of complex underground environments. Supported by DARPA’s mission to advance breakthrough technologies for national security, the SubT Challenge focused on overcoming critical challenges in subterranean mapping, navigation, and situational awareness, vital for disaster response in tunnels, caves, and urban underground networks. These environments are often too hazardous for human responders, demanding advanced autonomous solutions. Our multidisciplinary team developed cutting-edge aerial robotic systems to operate reliably in these GPS-denied, cluttered, and dynamic spaces.

The CTU-CRAS-NORLAB team secured 1st place among self-funded teams and 3rd place overall in the Tunnel Circuit, earning a $200,000 prize. After the succesful deployment of autonmous multi-robot team in demanding envoronment of tunnels of underground mines, the CTU-CRAS-NORLAB team suceeded also in urban conditions inside of an abundant nuclear powerplant. The team secured again 1st place among self-funded teams and 3rd place overall in the Urban Circuit, earning a $500,000 prize. Additionally, the CTU-CRAS-NORLAB team placed 2nd in the virtual track and 6th in the systems track during finals of the DARPA SubT at Louisville Megacavern, Kentucky, earning aditional $500,000 prize.

The success of our team received broad recognition, including national television coverage in the Czech Republic. This competition has been instrumental in advancing autonomous search and rescue technologies designed for rapid deployment in high-risk subterranean emergencies.

Together with partners in the company, Martin Saska lead a team of Fly4Future in collaboration with the Multi-Robot Systems Group at the Faculty of Electrical Engineering, CTU to win the final race of the SPRIND Funke Fully Autonomous Flight competition held in Germany.

In the finals, the Czech team successful competed against eight top international teams at the Erding Air Base, selected out of 86 applications. The very demanding challenge was to develop and operate a drone capable of long-range fully autonomous flight without GPS, navigating to a target location, picking up an object, and safely transporting it—all under challenging and dynamic conditions. The main difficulty was in combination of very long route (9km) going through various types of environments, including urban, forest, and open fields. The task was to follow the track fully autonomously without GNSS that required fusing multiple sensory modalities – 3D lidar, RGB cameras, thermal cameras- carried onboard of the aerial robot for robust localization and navigation.

The huge success in this demanding competition in comparison with top European robotic teams highlights the advanced capabilities of autonomous aerial systems designed by Martin Saska’s teams and the strength of our collaborative research and development efforts.

Highlights and news

Achievements and Awards of Prof. Saska’s PhD Students

As a PhD advisor, prof. Saska has been fortunate to work with exceptionally talented students who have gone on to achieve remarkable success in both academia and industry. His students have received some of the highest recognitions in the Czech Republic and beyond for their work in aerial robotics, swarming, and multi-robot systems operating in challenging real-world environments.

Their achievements include postdoctoral positions in world-leading research groups—for example Robert Pěnička joined the lab of Davide Scaramuzza at the University of Zurich, a global authority in vision-based robotics, while Viktor Walter is continuing his research at Carnegie Mellon University with Sebastian Scherer, one of the most respected figures in U.S. robotics.

Several of students have been recognized with the most prestigious Siemens Award for the best thesis in the Czech Republic. Notably, Pavel Petráček won the first prize in 2025, awarded to the top PhD thesis across all research fields in the country in the year. Vít Krátký was honored with second place in the international IEEE MRS Technical Committee competition for the best PhD thesis in multi-robot systems accross the world.

These accomplishments reflect the strong foundation of rigorous, application-driven research cultivated in the Multi-Robot Systems Group and the outstanding commitment of students to pushing the frontiers of robotics.

Tomáš Báča

Fourier 2nd place

A. Svoboda 2nd-3rd place

Dean’s prize

Matěj Petrlík

Defended in 12/2024
with excellent results

Jiří Horyna

Dean’s prize, defended in
3/2025 – nominations will
come this year

Robert Pěnička

Siemens 2nd place 4.0

Fourier 2nd place

A. Svoboda 1st place

Dean’s prize

Postdoc at University of Zurich

Matouš Vrba

Siemens 2025 nominated

Viktor Walter

Siemens 2025 nominated

postdoc at CMU

Pavel Petráček

Siemens 2025 1st place

Dean’s prize

Vojtěch Spurný

Siemens 2023 2nd place

Siemens industry 4.0 2nd place

A. Svoboda 2nd-3rd place

Vít Krátký

IEEE MRS TC prize 2nd place

Siemens 3rD place industry 4.0

Dean’s prize

Find out more about all students’ achievements.

Publications

Journals

Annual Reviews in Control (1)
  • T P Nascimento and M Saska. Position and attitude control of multi-rotor aerial vehicles: A survey. Annual Reviews in Control 48:129-146, 2019. PDF, DOI BibTeX
Applied Soft Computing (1)
  • V Vonasek, M Saska, K Kosnar and L Preucil. Motion planning with adaptive motion primitives for modular robots. Applied Soft Computing 34(1):678–692, 2015. BibTeX

 

Autonomous Robots (4)
    • Jiri Horyna, Tomas Baca, Viktor Walter, Dario Albani, Daniel Hert, Eliseo Ferrante and Martin Saska. Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication. Autonomous Robots, pages 1-17, 2022. PDF BibTeX
    • M Saska, D Hert, T Baca, V Kratky and T Nascimento. Formation control of unmanned micro aerial vehicles for straitened environments. Autonomous Robots 44:991-1008, 2020. PDF, DOI BibTeX
    • Robert Pěnička, Jan Faigl, Martin Saska and Petr Váňa. Data collection planning with non-zero sensing distance for a budget and curvature constrained unmanned aerial vehicle. Autonomous Robots, 2019. PDF BibTeX
    • M Saska, T Baca, J Thomas, J Chudoba, L Preucil, T Krajnik, J Faigl, G Loianno and V Kumar. System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization. Autonomous Robots 41(4):919–944, 2017. PDF BibTeX

 

 

Bioinspiration & Biomimetics (3)
  • Afzal Ahmad, Daniel Bonilla Licea, Giuseppe Silano, Tomas Baca and Martin Saska. PACNav: A Collective Navigation Approach for UAV Swarms Deprived of Communication and External Localization. Bioinspiration & Biomimetics 17:1-19, November 2022. URL PDF, DOI BibTeX
  • Filip Novák, Viktor Walter, Pavel Petráček, Tomáš Báča and Martin Saska. Fast collective evasion in self-localized swarms of unmanned aerial vehicles. Bioinspiration & Biomimetics 16(6):066025, November 2021. URL PDF, DOI BibTeX
  • Pavel Petráček, Viktor Walter, Tomáš Báča and Martin Saska. Bio-Inspired Compact Swarms of Unmanned Aerial Vehicles without Communication and External Localization. Bioinspiration & Biomimetics 16(2):026009, December 2020. PDF, DOI BibTeX
European Journal of Operational Research (2)
  • Robert Pěnička, Jan Faigl and Martin Saska. Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. European Journal of Operational Research 276(3):816 – 825, 2019. PDF BibTeX
  • M Saska, J S Mejia, D M Stipanovic, V Vonasek, K Schilling and L Preucil. Control and Navigation in Manoeuvres of Formations of Unmanned Mobile Vehicles. European Journal of Control 19(2):157–171, March 2013. PDF BibTeX
Field Robotics (9)
  • Matej Petrlik, Pavel Petracek, Vit Kratky, Tomas Musil, Yurii Stasinchuk, Matous Vrba, Tomas Baca, Daniel Hert, Martin Pecka, Tomas Svoboda and Martin Saska. UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT. Field Robotics 3:1–68, January 2023. PDF, DOI BibTeX
  • V Walter, V Spurny, M Petrlik, T Báca, D Zaitlík, L Demkiv and M Saska. Extinguishing real fires by fully autonomous multirotor UAVs in the MBZIRC 2020 competition. Field Robotics 2:406–436, April 2022. PDF, DOI BibTeX
  • P Štibinger, G Broughton, F Majer, Z Rozsypálek, A Wang, K Jindal, A Zhou, D Thakur, G Loianno, T Krajník and M Saska. Towards new frontiers in mobile manipulation: Team CTU-UPenn-NYU at MBZIRC 2020. Field Robotics 2:75–106, March 2022. PDF, DOI BibTeX
  • Y Stasinchuk, M Vrba, T Báča, V Spurný, M Petrlík, D Heřt, D Žaitlík and M Saska. A Multi-MAV System for the Autonomous Elimination of Multiple Targets in the MBZIRC 2020 Competition. Field Robotics 2:1697–1720, 2022. PDF, DOI BibTeX
  • Vít Krátký, Pavel Petráček, Tomáš Báča and Martin Saska. An autonomous unmanned aerial vehicle system for fast exploration of large complex indoor environments. Journal of Field Robotics 38(8):1036-1058, May 2021. URL PDF, DOI BibTeX
  • P Štěpán, T Krajnik, M Petrlik and M Saska. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics 36(1):252-269, 2019. PDF BibTeX
  • Tomas Baca, Petr Stepan, Vojtech Spurny, Daniel Hert, Robert Penicka, Martin Saska, Justin Thomas, Giuseppe Loianno and Vijay Kumar. Autonomous landing on a moving vehicle with an unmanned aerial vehicle. Journal of Field Robotics 36(5):874-891, 2019. URL PDF, DOI BibTeX
  • V Spurný, T Báča, M Saska, R Pěnička, T Krajník, J Thomas, D Thakur, G Loianno and V Kumar. Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics 36(1):125-148, 2019. URL PDF, DOI BibTeX
  • J Faigl, P Vana, R Penicka and M Saska. Unsupervised Learning based Flexible Framework for Surveillance Planning with Aerial Vehicles. Journal of Field Robotics 36(1):270-301, 2019. PDF BibTeX
IEEE Access (1)
  • V Spurny, V Pritzl, V Walter, M Petrlik, T Baca, P Stepan, D Zaitlik and M Saska. Autonomous Firefighting Inside Buildings by an Unmanned Aerial Vehicle. IEEE Access 9:15872-15890, January 2021. PDF, DOI BibTeX
IEEE Communications Magazine (1)
  • Daniel Bonilla Licea, Giuseppe Silano, Hajar El Hammouti, Mounir Ghogho and Martin Saska. Reshaping UAV-Enabled Communications with Omnidirectional Multi-Rotor Aerial Vehicles. IEEE Communications Magazine ():, 2024. PDF, DOI BibTeX

 

IEEE Robotics and Automation Letters (24)
  • 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
  • Krystof Teissing, Matej Novosad, Robert Penicka and Martin Saska. Real-Time Planning of Minimum-Time Trajectories for Agile UAV Flight. IEEE Robotics and Automation Letters 9(11):10351-10358, 2024. URL PDF, DOI BibTeX
  • Michal Pliska, Matouš Vrba, Tomáš Báča and Martin Saska. Towards Safe Mid-Air Drone Interception: Strategies for Tracking & Capture. Robotics and Automation Letters 9(10):8810-8817, 2024. PDF, DOI BibTeX
  • Jiri Horyna, Vit Kratky, Vaclav Pritzl, Tomas Baca, Eliseo Ferrante and Martin Saska. Fast Swarming of UAVs in GNSS-denied Feature-Poor Environments without Explicit Communication. IEEE Robotics and Automation Letters 9(6):5284-5291, April 2024. PDF, DOI BibTeX
  • Pavel Petracek, Kostas Alexis and Martin Saska. RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation. IEEE Robotics and Automation Letters 9(6):5230–5237, 2024. PDF, DOI BibTeX
  • Denys Datsko, Frantisek Nekovar, Robert Penicka and Martin Saska. Energy-Aware Multi-UAV Coverage Mission Planning With Optimal Speed of Flight. IEEE Robotics and Automation Letters 9(3):2893-2900, 2024. PDF, DOI BibTeX
  • Parakh M Gupta, Èric Pairet, Tiago Nascimento and Martin Saska. Landing a UAV in Harsh Winds and Turbulent Open Waters. IEEE Robotics and Automation Letters 8(2):744-751, 2023. PDF, DOI BibTeX
  • T Musil, Matej Petrlik and Martin Saska. SphereMap: Dynamic Multi-Layer Graph Structure for Rapid Safety-Aware UAV Planning. IEEE Robotics and Automation Letters 7(4):11007-11014, 2022. PDF, DOI BibTeX
  • Pavel Petracek, Vit Kratky, Matej Petrlik, Tomas Baca, Radim Kratochvil and Martin Saska. Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters 6(4):7596-7603, October 2021. PDF, DOI BibTeX
  • Vít Krátký, Alfonso Alcántara, Jesús Capitán, Petr Štěpán, Martin Saska and Aníbal Ollero. Autonomous Aerial Filming with Distributed Lighting by a Team of Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters 6(4):7580-7587, October 2021. PDF, DOI BibTeX
  • František Nekovář, Jan Faigl and Martin Saska. Multi-tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection. IEEE Robotics and Automation Letters 6(4):6196-6203, October 2021. PDF, DOI BibTeX
  • Giuseppe Silano, Tomas Baca, Robert Penicka, Davide Liuzza and Martin Saska. Power Line Inspection Tasks with Multi-Aerial Robot Systems via Signal Temporal Logic Specifications. IEEE Robotics and Automation Letters 6(2):4169–4176, April 2021. PDF, DOI BibTeX
  • P Štibinger, G Broughton, F Majer, Z Rozsypálek, A Wang, K Jindal, A Zhou, D Thakur, G Loianno, T Krajník and M Saska. Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment. IEEE Robotics and Automation Letters 6(2):2595-2602, April 2021. PDF, DOI BibTeX
  • P Štibinger, 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 5(2):3634-3641, April 2020. PDF, DOI BibTeX
  • D A Saikin, T Baca, M Gurtner and M Saska. Wildfire Fighting by Unmanned Aerial System Exploiting Its Time-Varying Mass. IEEE Robotics and Automation Letters 5(2):2674-2681, 2020. PDF, DOI BibTeX
  • M Vrba and M Saska. Marker-Less Micro Aerial Vehicle Detection and Localization Using Convolutional Neural Networks. IEEE Robotics and Automation Letters 5(2):2459-2466, April 2020. PDF, DOI BibTeX
  • V Krátký, P Petráček, V Spurný and M Saska. Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters 5(2):2302-2309, April 2020. PDF, DOI BibTeX
  • M Petrlík, T Báča, D Heřt, M Vrba, T Krajník and M Saska. A Robust UAV System for Operations in a Constrained Environment. IEEE Robotics and Automation Letters (RAL) 5(2):2169-2176, 2020. URL PDF, DOI BibTeX
  • P Petráček, 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 5(2):2078-2085, April 2020. PDF, DOI BibTeX
  • M Vrba, D Heřt and M Saska. Onboard Marker-Less Detection and Localization of Non-Cooperating Drones for Their Safe Interception by an Autonomous Aerial System. IEEE Robotics and Automation Letters 4(4):3402-3409, October 2019. PDF, DOI BibTeX
  • V Walter, N Staub, A Franchi and M Saska. UVDAR System for Visual Relative Localization With Application to Leader–Follower Formations of Multirotor UAVs. IEEE Robotics and Automation Letters 4(3):2637-2644, July 2019. PDF, DOI BibTeX
  • Robert Pěnička, Jan Faigl and Martin Saska. Physical Orienteering Problem for Unmanned Aerial Vehicle Data Collection Planning in Environments with Obstacles. IEEE Robotics and Automation Letters 4(3):3005-3012, July 2019. PDF, DOI BibTeX
  • G Loianno, V Spurny, T Baca, J Thomas, D Thakur, D Hert, R Penicka, T Krajnik, A Zhou, A Cho, M Saska and V Kumar. Localization, Grasping, and Transportation of Magnetic Objects by a team of MAVs in Challenging Desert like Environments. IEEE Robotics and Automation Letters 3:1576–1583, 2018. URL PDF BibTeX
  • Robert Pěnička, Jan Faigl, Petr Váňa and Martin Saska. Dubins Orienteering Problem. IEEE Robotics and Automation Letters 2(2):1210-1217, April 2017. URL PDF, DOI BibTeX
IEEE Robotics and Automation Magazine (2)
  • Pavel Petracek, Vit Kratky, Tomas Baca, Petrlik Matej and Martin Saska. New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments. IEEE Robotics and Automation Magazine ():2–19, February 2023. PDF, DOI BibTeX
  • Tat’ána Příhodová, Giuseppe Silano, Afzal Ahmad, Vít Krátký, Tomáš Báča, Pavel Petráček, Věra Sasková, Jan Bednář and Martin Saska. 2022 IEEE Robotics and Automation Society Summer School on Multi-Robot Systems in Prague [Education]. IEEE Robotics & Automation Magazine 30(1):104-106, March 2023. URL PDF, DOI BibTeX
Intelligent Service Robotics (1)
  • M Hess, M Saska and K Schilling. Application of Coordinated Multi Vehicle Formations for Snow Shoveling on Airports. Inteligent Service Robotics 2(4):205 – 217, 2009. PDF BibTeX
International Journal of Robotics Research (1)
  • M Saska, V Vonasek, T Krajnik and L Preucil. Coordination and Navigation of Heterogeneous MAV–UGV Formations Localized by a ‘hawk-eye’-like Approach Under a Model Predictive Control Scheme. International Journal of Robotics Research 33(10):1393–1412, 2014. PDF BibTeX

 

ISPRS International Journal of Geo-Information (1)
  • Vít Krátký, Pavel Petráček, Tiago Nascimento, Michaela Čadilová, Milan Škobrtal, Pavel Stoudek and Martin Saska. Safe Documentation of Historical Monuments by an Autonomous Unmanned Aerial Vehicle. ISPRS International Journal of Geo-Information 10(11):738/1–16, October 2021. PDF, DOI BibTeX
Journal of Intelligent & Robotic Systems (9)
  • D Hert, T Baca, P Petracek, V Kratky, R Penicka, V Spurny, M Petrlik, M Vrba, D Zaitlik, P Stoudek, V Walter, P Stepan, J Horyna, V Pritzl, M Sramek, A Ahmad, G Silano, D Bonilla Licea, P Stibinger, T Nascimento and M Saska. MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems. Journal of Intelligent & Robotic Systems 108:1–34, July 2023. URL PDF, DOI BibTeX
  • Tiago Pereira Nascimento and Martin Saska. Embedded Fast Nonlinear Model Predictive Control for Micro Aerial Vehicles. Journal of Intelligent & Robotic Systems 103(74):1-11, November 2021. URL, DOI BibTeX
  • Dariuz Horla, Wojciech Giernacki, Tomas Baca, Vojtech Spurny and Martin Saska. AL-TUNE: In-flight tuning of an altitude controller for UAVs. Journal of Intelligent & Robotic Systems 103(5):1-16, August 2021. URL, DOI BibTeX
  • Tomas Baca, Matej Petrlik, Matous Vrba, Vojtech Spurny, Robert Penicka, Daniel Hert and Martin Saska. The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles. Journal of Intelligent & Robotic Systems 102(26):1–28, May 2021. URL PDF, DOI BibTeX
  • M Saska, V Vonásek, J Chudoba, J Thomas, G Loianno and V Kumar. Swarm Distribution and Deployment for Cooperative Surveillance by Micro-Aerial Vehicles. Journal of Intelligent & Robotic Systems. 84(1):469–492, 2016. PDF BibTeX
  • J Chudoba, M Kulich, M Saska, T Báča and L Přeučil. Exploration and Mapping Technique Suited for Visual-features Based Localization of MAVs. Journal of Intelligent & Robotic Systems. 84(1):351-369, 2016. PDF BibTeX
  • M Saska, T Krajnik, V Vonasek, Z Kasl, V Spurny and L Preucil. Fault-Tolerant Formation Driving Mechanism Designed for Heterogeneous MAVs-UGVs Groups. Journal of Intelligent and Robotic Systems 73(1-4):603–622, 2014. PDF BibTeX
  • T Krajnik, M Nitsche, J Faigl, P Vanek, M Saska, L Preucil, T Duckett and M Mejail. A Practical Multirobot Localization System. Journal of Intelligent & Robotic Systems 76(3-4):539-562, 2014. PDF BibTeX
  • M Saska, V Vonasek and L Preucil. Trajectory Planning and Control for Airport Snow Sweeping by Autonomous Formations of Ploughs. Journal of Intelligent and Robotic Systems 72(2):239–261, 2013. PDF BibTeX
Mechanism and Machine Theory (1)
  • Hamidreza Heidari and Martin Saska. Collision-free trajectory planning of multi-rotor UAVs in a wind condition based on modified potential field. Mechanism and Machine Theory 156(2):104-140, February 2021. PDF, DOI BibTeX
Ocean Engineering (2)
  • 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. PDF, DOI BibTeX
  • 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
Progress in Artificial Intelligence (1)
  • M Saska, V Spurný and L Přeučil. Trajectory Planning and Stabilization for Formations Acting in Dynamic Environments. In Progress in Artificial Intelligence. 2013. PDF BibTeX
Robotica (1)
  • Hamidreza Heidari and Martin Saska. Trajectory Planning of Quadrotor Systems for Various Objective Functions. Robotica 39(1):137–152, January 2021. PDF, DOI BibTeX
Robotics and Autonomous Systems (6)
  • Giuseppe Silano, Alvaro Cabellero, Davide Liuzza, Luigi Iannelli, Stjepan Bogdan and Martin Saska. A Signal Temporal Logic Approach for Task-Based Coordination of Multi-Aerial Systems: a Wind Turbine Inspection Case Study. Robotics and Autonomous Systems 186:1–16, April 2025. URL PDF, DOI BibTeX
  • M Saska, V Spurny and V Vonasek. Predictive control and stabilization of nonholonomic formations with integrated spline-path planning. Robotics and Autonomous Systems 75(Part B):379–397, 2016. PDF BibTeX
  • Matouš Vrba, Yurii Stasinchuk, Tomáš Báča, Vojtěch Spurný, Matěj Petrlík, Daniel Heřt, David Žaitlík and Martin Saska. Autonomous capture of agile flying objects using UAVs: The MBZIRC 2020 challenge. Robotics and Autonomous Systems 149:103970, March 2022. URL PDF, DOI BibTeX
  • Tomas Baca, Robert Penicka, Petr Stepan, Matej Petrlik, Vojtech Spurny, Daniel Hert and Martin Saska. Autonomous Cooperative Wall Building by a Team of Unmanned Aerial Vehicles in the MBZIRC 2020 Competition. Robotics and Autonomous Systems 167:104482, September 2023. URL PDF BibTeX
  • V Vonasek, M Saska, L Winkler and L Preucil. High-level motion planning for CPG-driven modular robots. Robotics and Autonomous Systems 68:116 – 128, 2015. PDF BibTeX
  • Václav Pritzl, Matouš Vrba, Claudio Tortorici, Reem Ashour and Martin Saska. Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties. Robotics and Autonomous Systems 160:104315, 2023. PDF, DOI BibTeX
Sensors (1)
  • Wojciech Giernacki, Dariusz Horla, Tomáš Báča and Martin Saska. Real-Time Model-Free Minimum-Seeking Autotuning Method for Unmanned Aerial Vehicle Controllers Based on Fibonacci-Search Algorithm. Sensors 19(2), 2019. PDF BibTeX
Transactions on Robotics (2)
  • Matouš Vrba, Viktor Walter, Václav Pritzl, Michal Pliska, Tomáš Báča, Vojtěch Spurný, Daniel Heřt and Martin Saska. On Onboard LiDAR-Based Flying Object Detection. Transactions on Robotics 41:593–611, 2025. PDF, DOI BibTeX
  • Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee, Christopher E Denniston, Simon-Pierre Deschênes, Kyle Harlow, Shehryar Khattak, Lucas Nogueira, Matteo Palieri, Pavel Petráček, Matěj Petrlík, Andrzej Reinke, Vít Krátký, Shibo Zhao, Ali-akbar Agha-mohammadi, Kostas Alexis, Christoffer Heckman, Kasra Khosoussi, Navinda Kottege, Benjamin Morrell, Marco Hutter, Fred Pauling, François Pomerleau, Martin Saska, Sebastian Scherer, Roland Siegwart, Jason L Williams and Luca Carlone. Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge. IEEE Transactions on Robotics 40():936-959, 2024. PDF, DOI BibTeX

WoS Conference Papers

AIRPHARO (1)
  • Lyubomyr Demkiv, Massimiliano Ruffo, Giuseppe Silano, Jan Bednar and Martin Saska. An Application of Stereo Thermal Vision for Preliminary Inspection of Electrical Power Lines by MAVs. In 2021 Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO). October 2021, 1–8. PDF, DOI BibTeX
ECMR (4)
  • T Báča, P Štěpán and M Saska. Autonomous Landing On A Moving Car With Unmanned Aerial Vehicle. In The European Conference on Mobile Robotics (ECMR). 2017. PDF BibTeX
  • R Pěnička, M Saska, Ch. Reymann and S Lacroix. Reactive Dubins Traveling Salesman Problem for Replanning of Information Gathering by UAVs. In European Conference of Mobile Robotics (ECMR). 2017. PDF BibTeX
  • D Brandtner and M Saska. Coherent swarming of unmanned micro aerial vehicles with minimum computational and communication requirements. In ECMR. 2017. PDF BibTeX
  • J Faigl, P Váňa, M Saska, T Báča and V Spurný. On solution of the Dubins touring problem. In 2017 European Conference on Mobile Robots (ECMR). 2017, 1-6. PDF BibTeX
ETFA (4)
  • V Spurný, M Petrlík, V Vonásek and M Saska. Cooperative Transport of Large Objects by a Pair of Unmanned Aerial Systems using Sampling-based Motion Planning. In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (). 2019, 955-962. URL PDF, DOI BibTeX
  • 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 IEEE ETFA. 2017. PDF BibTeX
  • V Vonásek, A Vick and M Saska. Motion planning with motion primitives for industrial bin picking. In 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2017. PDF BibTeX
  • M Saska, M Macaš, L Přeučil and L Lhotská. Robot Path Planning using Particle Swarm Optimization of Ferguson Splines. In ETFA 2006. 2006. PDF BibTeX
EUSIPCO (1)
  • Daniel Bonilla Licea, Giuseppe Silano, Mounir Ghogho and Martin Saska. Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations. In 29th European Signal Processing Conference (EUSIPCO). September 2021, 1586–1590. PDF, DOI BibTeX

 

IASTED (1)
  • M Saska, M Hess and K Schilling. Voronoi Strains – A Spline Path Planning Algorithm for Complex Environments. In IASTED conference on Artificial Intelligence and Applications. 2007. PDF BibTeX
ICARCV (3)
  • Dariusz HorIa, Wojciech Giernacki, Vít Krátký, Petr Štibinger, Tomáš Báča and Martin Saska. On Rapid Parallel Tuning of Controllers of a Swarm of MAVs – Distribution Strategies of the Updated Gains. In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV). December 2024, 1182-1188. URL, DOI BibTeX
  • M Saska, T Báča and D Heřt. Formations of Unmanned Micro Aerial Vehicles Led by Migrating Virtual Leader. In 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). 2016. PDF BibTeX
  • M Saska, M Hess and K Schilling. Route Scheduling Approach for Airport Snow Shoveling using Formations of Autonomous Ploughs. In 10th International Conference on Control, Automation, Robotics and Vision (ICARCV). 2008. PDF BibTeX
ICASSP (1)

IEEE International Conference on Acoustics, Speech, and Signal Processing

  • Daniel Bonilla Licea, Giuseppe Silano, Mounir Ghogho and Martin Saska. Omnidirectional Multi-Rotor Aerial Vehicle Pose Optimization: A Novel Approach to Physical Layer Security. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). April 2024, 9021-9025. PDF, DOI BibTeX
ICICAR (3)

International Conference on Informatics in Control, Automation and Robotics.

  • 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. PDF, DOI BibTeX
  • M Saska, M Hess and K Schilling. Hierarchical Spline Path Planning Method for Complex Environments. In 4th International Conference on Informatics in Control, Automation and Robotics.. 2007. PDF BibTeX
  • M Saska, L Přeučil and M Kulich. Elliptic Net – A Path Planning Algorithm for Dynamic Environments. In 3th International Conference on Informatics in Control, Automation and Robotics. 2006. PDF BibTeX
ICRA (14)
  • Tomáš Jakub Jirkal Vojtěch Vonásek Robert Pěnička Báča David Čapek Jan Hrnčíř and Martin Saska. FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy. In IEEE/RSJ International Conference on Robotics and Automation (ICRA). 2025. URL PDF BibTeX
  • Martin Křížek, Matouš Vrba, Antonella Barišić Kulaš, Stjepan Bogdan and Martin Saska. Bio-inspired visual relative localization for large swarms of UAVs. In International Conference on Robotics and Automation (ICRA). May 2024, 11825-11831. PDF, DOI BibTeX
  • Giuseppe Silano, Amr Afifi, Martin Saska and Antonio Franchi. Ergonomic Collaboration between Humans and Robots: An Energy-Aware Signal Temporal Logic Perspective. In 2023 IEEE International Conference on Robotics and Automation (ICRA), Contribution accepted for discussion at the workshop session: “Energy Efficient Aerial Robotic Systems”, ExCeL, London, UK. June 2023, 1-4. URL PDF, DOI BibTeX
  • Yurii Stasinchuk, Matous Vrba, M Petrlik, T Baca, Vojtech Spurny, Daniel Hert, D Zaitlik, Tiago Nascimento and M Saska.. A Multi-UAV System for Detection and Elimination of Multiple Targets. In 2021 IEEE International Conference on Robotics and Automation (ICRA). May 2021, 555–561. PDF, DOI BibTeX
  • V Pritzl, P Stepan and M Saska. Autonomous Flying into Buildings in a Firefighting Scenario. In 2021 IEEE International Conference on Robotics and Automation (ICRA). May 2021, 239–245. PDF, DOI BibTeX
  • A Ahmad, V Walter, P Petracek, M Petrlik, T Baca, D Zaitlik and M Saska. Autonomous Aerial Swarming in GNSS-denied Environments with High Obstacle Density. In 2021 IEEE International Conference on Robotics and Automation (ICRA). June 2021, 570–576. PDF, DOI BibTeX
  • V Walter, M Vrba and M Saska. On training datasets for machine learning-based visual relative localization of micro-scale UAVs. In 2020 IEEE International Conference on Robotics and Automation (ICRA). August 2020, 10674-10680. PDF BibTeX
  • V Vonásek and M Saska. Increasing Diversity of Solutions in Sampling-based Path Planning. In ICRAI 2018. 2018. PDF BibTeX
  • M Saska, J Vakula and L Přeučil. Swarms of Micro Aerial Vehicles Stabilized Under a Visual Relative Localization. In IEEE International Conference on Robotics and Automation (ICRA). 2014. PDF BibTeX
  • V Vonásek, L Winkler, J Liedke, M Saska, K Košnar and L Přeučil. Fast On-Board Motion Planning for Modular Robots. In ICRA2014: Proceedings of 2014 IEEE International Conference on Robotics and Automation. 2014, 1215–1220. URL PDF BibTeX
  • V Vonásek, M Saska, K Košnar and L Přeučil. Global Motion Planning for Modular Robots with Local Motion Primitives. In IEEE International Conference on Robotics and Automation (ICRA). 2013. PDF BibTeX
  • J Faigl, T Krajník, J Chudoba, L Přeučil and M Saska. Low-Cost Embedded System for Relative Localization in Robotic Swarms. In IEEE International Conference on Robotics and Automation (ICRA). 2013. PDF BibTeX
  • M Saska, V Vonásek and L Přeučil. Roads Sweeping by Unmanned Multi-vehicle Formations. In IEEE International Conference on Robotics and Automation (ICRA). 2011. PDF BibTeX
  • M Saska, M Hess and K Schilling. Efficient Airport Snow Shoveling by Applying Autonomous Multi-Vehicle Formations. In IEEE International Conference on Robotics and Automation (ICRA). 2008. PDF BibTeX
ICUAS (26)
  • Giuseppe Silano, Amr Afifi, Martin Saska and Antonio Franchi. A Signal Temporal Logic Planner for Ergonomic Human–Robot Collaboration. In 2023 International Conference on Unmanned Aircraft Systems (ICUAS). June 2023, 328-335. PDF, DOI BibTeX
  • Daniel Bonilla Licea, Giuseppe Silano, Mounir Ghogho and Martin Saska. Communications-Aware Robotics: Challenges and Opportunities. In 2023 International Conference on Unmanned Aircraft Systems (ICUAS). June 2023, 366-371. PDF, DOI BibTeX
  • Jiri Horyna, Viktor Walter and Martin Saska. UVDAR-COM: UV-Based Relative Localization of UAVs with Integrated Optical Communication. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022. PDF, DOI BibTeX
  • Martin Krizek, Jiri Horyna and Martin Saska. Swarming of Unmanned Aerial Vehicles by Sharing Distributed Observations of Workspace. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022. PDF, DOI BibTeX
  • Vaclav Pritzl, Matous Vrba, Petr Stepan and Martin Saska. Cooperative Navigation and Guidance of a Micro-Scale Aerial Vehicle by an Accompanying UAV using 3D LiDAR Relative Localization. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022, 526–535. PDF, DOI BibTeX
  • Jan Bednar, Matej Petrlik, Kelen Cristiane Teixeira Vivaldini and Martin Saska. Deployment of Reliable Visual Inertial Odometry Approaches for Unmanned Aerial Vehicles in Real-world Environment. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022, 167–176. PDF, DOI BibTeX
  • Akash Chaudhary, Tiago Nascimento and Martin Saska. Controlling a Swarm of Unmanned Aerial Vehicles Using Full-Body k-Nearest Neighbor Based Action Classifier. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022, 544–551. PDF, DOI BibTeX
  • Daniel Hert, Tomas Baca, Pavel Petracek, Vit Kratky, Vojtech Spurny, Matej Petrlik, Matous Vrba, David Zaitlik, Pavel Stoudek, Viktor Walter, Petr Stepan, Jiri Horyna, Vaclav Pritzl, Giuseppe Silano, Daniel Bonilla Licea, Petr Stibinger, Robert Penicka, Tiago Nascimento and Martin Saska. MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022, 1264–1273. PDF, DOI BibTeX
  • Andriy Dmytruk, Giuseppe Silano, Davide Bicego, Daniel Bonilla Licea and Martin Saska. A Perception-Aware NMPC for Vision-Based Target Tracking and Collision Avoidance with a Multi-Rotor UAV. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). June 2022, 1668–1673. PDF, DOI BibTeX
  • A Dmytruk, T Nascimento, A Ahmad, T Báča and M Saska. Safe Tightly-Constrained UAV Swarming in GNSS-denied Environments. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021, 1391–1399. PDF, DOI BibTeX
  • Thulio Amorim, Tiago Nascimento, Pavel Petracek, Giulia Masi, Eliseo Ferrante and Martin Saska. Self-Organized UAV Flocking Based on Proximal Control. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS) (). July 2021, 1374–1382. PDF, DOI BibTeX
  • Daniel Smrcka, Tomas Baca, Tiago Nascimento and Martin Saska. Admittance Force-Based UAV-Wall Stabilization and Press Exertion for Documentation and Inspection of Historical Buildings. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 552–559. PDF, DOI BibTeX
  • T Baca, P Stibinger, D Doubravova, D Turecek, J Solc, J Rusnak, M Saska and J Jakubek. Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 338–346. PDF, DOI BibTeX
  • Jiri Horyna, Tomas Baca and Martin Saska. Autonomous Collaborative Transport of a Beam-Type Payload by a Pair of Multi-rotor Helicopters. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 1139–1147. PDF, DOI BibTeX
  • Viktor Walter, Vojtěch Spurný, Matěj Petrlík, Tomáš Báča, David Žaitlík and Martin Saska. Extinguishing of Ground Fires by Fully Autonomous UAVs Motivated by the MBZIRC 2020 Competition. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 787–793. PDF, DOI BibTeX
  • Matej Petrlik, Tomas Krajnik and Martin Saska. LIDAR-based Stabilization, Navigation and Localization for UAVs Operating in Dark Indoor Environments. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 243–251. PDF, DOI BibTeX
  • Giuseppe Silano, Jan Bednar, Tiago Nascimento, Jesus Capitan, Martin Saska and Anibal Ollero. A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). June 2021, 1624–1629. PDF, DOI BibTeX
  • T Uzakov, T P Nascimento and M Saska. UAV Vision-Based Nonlinear Formation Control Applied to Inspection of Electrical Power Lines. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece. September 2020, 1301–1308. PDF, DOI BibTeX
  • A Ahmad, V Vonásek and M Saska. Cooperative path planning for multiple MAVs operating in unknown environments. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece. September 2020, 661–667. PDF, DOI BibTeX
  • T P Nascimento and M Saska. Fast Nonlinear Model Predictive Control for Very-Small Aerial Vehicles. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece. September 2020, 523–528. PDF, DOI BibTeX
  • V Walter, M Saska and A Franchi. Fast mutual relative localization of uavs using ultraviolet led markers. In 2018 International Conference of Unmanned Aircraft System (ICUAS 2018). 2018. PDF BibTeX
  • R Pěnička, J Faigl, P Váňa and M Saska. Dubins orienteering problem with neighborhoods. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). June 2017, 1555-1562. PDF BibTeX
  • M Saska. MAV-swarms: unmanned aerial vehicles stabilized along a given path using onboard relative localization. In International Conference on Unmanned Aircraft Systems (ICUAS). 2015. PDF BibTeX
  • M Saska, J Chudoba, L Přeučil, J Thomas, G Loianno, A Třešnák, V Vonásek and V Kumar. Autonomous Deployment of Swarms of Micro-Aerial Vehicles in Cooperative Surveillance. In International Conference on Unmanned Aircraft Systems (ICUAS). 2014. PDF BibTeX
  • J Chudoba, M Saska, T Báča and L Přeučil. Localization and stabilization of micro aerial vehicles based on visual features tracking. In International Conference on Unmanned Aircraft Systems (ICUAS). 2014. PDF BibTeX
  • M Saska, T Krajník, V Vonásek, P Vaněk and L Přeučil. Navigation, Localization and Stabilization of Formations of Unmanned Aerial and Ground Vehicles. In International Conference on Unmanned Aircraft Systems (ICUAS). 2013. PDF BibTeX
IEEE CASE (2)
  • Michaela Cihlářová, Václav Pritzl and Martin Saska. Cooperative Indoor Exploration Leveraging a Mixed-Size UAV Team with Heterogeneous Sensors. In IEEE International Conference on Automation Science and Engineering (CASE). 2024. PDF BibTeX
  • V Walter, M Saska, N Staub and A Franchi. Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform. In IEEE CASE. 2018. PDF BibTeX
IEEE GLOBECOM (1)
  • Daniel Bonilla Licea, Hajar El Hammouti, Giuseppe Silano and Martin Saska. Harnessing the Potential of Omnidirectional Multi-Rotor Aerial Vehicles in Cooperative Jamming Against Eavesdropping. In 2024 IEEE Global Communications Conference (IEEE GLOBECOM). December 2024, 2052-2058. URL PDF, DOI BibTeX
ISIC (1)
  • M Saska, J S Mejía, D M Stipanović and K Schilling. Control and Navigation of Formations of Car-Like Robots on a Receding Horizon. In IEEE Multi-conference on Systems and Control. 2009. PDF BibTeX

 

IFAC (1)
  • M Saska, Z Kasl and L Přeučil. Motion Planning and Control of Formations of Micro Aerial Vehicles. In 19th World Congress of the International Federation of Automatic Control (IFAC). 2014. PDF BibTeX
ISRR (1)
  • M Saska. Large sensors with adaptive shape realised by selfstabilised compact groups of micro aerial vehicles. In International Symposium on Robotic Research. 2017. PDF BibTeX
Lecture Notes in Computer Science (5)
  • D Zahrádka, R Pěnička and M Saska. Route Planning for Teams of Unmanned Aerial Vehicles Using Dubins Vehicle Model with Budget Constraint. In Lecture Notes in Computer Science, vol 11472.. 2019. PDF BibTeX
  • P Ješke, Š Klouček and M Saska. Autonomous Compact Monitoring of Large Areas Using Micro Aerial Vehicles with Limited Sensory Information and Computational Resources. In Lecture Notes in Computer Science, vol 11472.. 2019. PDF BibTeX
  • A Dubeň, R Pěnička and M Saska. Information Gathering Planning with Hermite Spline Motion Primitives for Aerial Vehicles with Limited Time of Flight. In Lecture Notes in Computer Science, vol 11472.. 2019. PDF BibTeX
  • V Pritzl, L Vojtěch, M Neruda and M Saska. Real-Time Localization of Transmission Sources by a Formation of Helicopters Equipped with a Rotating Directional Antenna. In Lecture Notes in Computer Science, vol 11472.. 2019. PDF BibTeX
  • V Walter, T Novák and M Saska. Self-localization of Unmanned Aerial Vehicles Based on Optical Flow in Onboard Camera Images. In Lecture Notes in Computer Science, vol 10756.. 2018. PDF BibTeX
MESAS (2)
  • M Saska, J Langr and L Přeučil. Plume Tracking by a Self-stabilized Group of Micro Aerial Vehicles. In Modelling and Simulation for Autonomous Systems. 2014. PDF BibTeX
  • T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, D Heřt, M Petrlík, T Báča, V Spurný, F Pomerleau, V Kubelka, J Faigl, K Zimmermann, M Saska, T Svoboda and T Krajník. DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments. In Modelling and Simulation for Autonomous Systems. 2019, 274–290. URL PDF, DOI BibTeX
MMAR (2)
  • T Báča, G Loianno and M Saska. Embedded Model Predictive Control of Unmanned Micro Aerial Vehicles. In 21st International Conference on Methods and Models in Automation and Robotics (MMAR). 2016. PDF BibTeX
  • V Spurný, T Báča and M Saska. Complex manoeuvres of heterogeneous MAV-UGV formations using a model predictive control. In 21st International Conference on Methods and Models in Automation and Robotics (MMAR). 2016. PDF BibTeX
RoMoCo (1)
  • V Vonásek, M Saska and L Přeučil. Motion Planning for a Cable Driven Parallel Multiple Manipulator Emulating a Swarm of MAVs. In Robot Motion and Control 2013. 2013. PDF BibTeX
RCAR (1)
  • M Vrba, J Pogran, V Pritzl, V Spurný and M Saska. Real-time localization of transmission sources using a formation of micro aerial vehicles. In 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR). August 2019, 203-208. PDF, DOI BibTeX

 

SIDRA (1)
  • G Silano, D Liuzza, L Iannelli and M Saska. A framework for power line inspection tasks with multi-robot systems from signal temporal logic specifications. In SIDRA (Italian Society of Automatic Control), National Meeting. September 2020. URL PDF BibTeX

 

SMC (1)
  • M Petrlík, V Vonásek and M Saska. Coverage Optimization in the Cooperative Surveillance Task using Multiple Micro Aerial Vehicles. In 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC). October 2019. URL PDF BibTeX