Papers

33

Total Citations

861

H-Index

18

About

Martin J. Schuster is a leading researcher in autonomous robotics, specializing in multi-robot systems for planetary exploration and extreme environments. His work centers on developing stereo-vision based simultaneous localization and mapping (SLAM) for heterogeneous robot teams operating in GPS-denied, communication-delayed settings—critical for future space missions. Schuster’s most impactful contribution is the ARCHES Space-Analogue Demonstration Mission (98 citations), which demonstrated how collaborative robot teams can autonomously perform scientific sampling on extraterrestrial surfaces. He also pioneered distributed 6D SLAM systems for multi-robot teams (52 citations) and created the MADMAX dataset (54 citations) for visual-inertial rover navigation on Mars, providing a benchmark for the field. His early work on obstacle mapping for indoor/outdoor SLAM (57 citations) laid groundwork for search and rescue applications. With over 500 total citations, Schuster’s research bridges the gap between terrestrial robotics and space exploration, enabling autonomous operations where human control is impractical. His achievements include leading the development of the DLR’s autonomous planetary rover systems and contributing to the European Space Agency’s exploration roadmap.

Research Focus

Key Achievements

18
H-Index
33
Papers
861
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration
98 citations · 2020
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 136
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Georgia Institute of Technology, Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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