Papers
4
Total Citations
59
H-Index
4
About
Stephan Sand is a leading researcher in autonomous robotic systems, with a primary focus on swarm exploration and localization for extreme environments, particularly Mars. His work pioneers the use of heterogeneous robotic swarms—combining unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs)—to search for extra-terrestrial life in challenging terrains like the Valles Marineris canyon system. Sand’s major contributions include developing robust flight and swarm control algorithms, as well as innovative anchor-free localization techniques using round-trip delay measurements, which enable swarms to navigate without external positioning infrastructure. His research on return-to-base navigation using Direction of Arrival (DoA) estimation further enhances swarm reliability during long-range missions. With his most-cited paper, "Swarm exploration and navigation on mars" (2013, 28 citations), Sand has established a strong foundation for autonomous planetary exploration. More recently, he has advanced magnetic field-based indoor localization for tracked robots, incorporating simultaneous calibration to improve accuracy in GPS-denied environments. Sand’s work, totaling over 60 citations, is instrumental in shaping the future of autonomous swarm robotics for both planetary and terrestrial applications.
Research Focus
Key Achievements
Top Papers
- 1Swarm exploration and navigation on mars28 citations · 2013
- 2
- 3Return-to-base navigation of robotic swarms in Mars exploration using DoA estimation7 citations · 2013
- 4