Papers

111

Total Citations

3,265

H-Index

29

About

Martin Saska is a prominent robotics researcher whose work spans autonomous unmanned aerial vehicles (UAVs), multi-robot systems, simultaneous localization and mapping (SLAM), and swarm coordination. Based at Czech Technical University in Prague, Saska has made foundational contributions to the deployment of aerial and ground robots in real-world, GPS-denied, and extreme environments. His research has shaped how autonomous UAV systems perceive, navigate, and cooperate — from pioneering practical multi-robot localization (210 citations) to advancing position and attitude control surveys that have become essential references for aerial robotics practitioners (191 citations). His landmark work on autonomous UAV landing on moving vehicles at speed (158 citations) demonstrated remarkable integration of perception, planning, and control. Saska's contributions to the DARPA Subterranean Challenge pushed the boundaries of SLAM in underground environments including caves and tunnels, with implications reaching as far as Martian lava tube exploration (176 citations). Early work on path planning using particle swarm optimization (138 citations) established his reputation for algorithmic innovation. With multiple papers exceeding 100 citations and collaborative achievements in heterogeneous robot formations and search-and-rescue systems, Saska stands as a defining voice in autonomous multi-robot systems research.

Research Focus

Key Achievements

29
H-Index
111
Papers
3,265
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
A Practical Multirobot Localization System
210 citations · 2014
📈 Most Prolific Year: 2024 (17 Papers)
🤝 Key Collaborators: 178
🏛 Institutions: Czech Technical University in Prague, University of Würzburg

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 44 days ago