Marco Karrer
Papers
11
Total Citations
274
H-Index
8
About
Marco Karrer is a leading researcher in multi-robot perception, with a primary focus on collaborative visual-inertial SLAM (Simultaneous Localization and Mapping). His work addresses a critical bottleneck in robotics: enabling teams of robots to jointly perceive and navigate unknown environments without relying on external infrastructure like GPS. Karrer’s most influential contribution is the development of COVINS (Collaborative Visual-Inertial SLAM), a centralized architecture that allows multiple agents—such as UAVs—to co-localize and build a shared map in real time. His seminal 2018 paper, “CVI-SLAM—Collaborative Visual-Inertial SLAM,” has garnered 128 citations and laid the foundation for robust, scalable multi-robot perception. Building on this, his 2023 work on COVINS-G provides a generic back-end for collaborative SLAM, further extending the paradigm’s applicability. Karrer has also advanced distributed formation estimation using pairwise distance measurements and real-time dense surface reconstruction for aerial manipulation. His research, consistently published at top venues, has accumulated over 270 citations, demonstrating significant impact in enabling autonomous, coordinated robot teams for real-world missions—from search-and-rescue to industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1CVI-SLAM—Collaborative Visual-Inertial SLAM128 citations · 2018
- 2Distributed Formation Estimation Via Pairwise Distance Measurements42 citations · 2021
- 3COVINS-G: A Generic Back-end for Collaborative Visual-Inertial SLAM27 citations · 2023
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- 6Real-time dense surface reconstruction for aerial manipulation13 citations · 2016
- 7Real-time Dense Surface Reconstruction for Aerial Manipulation9 citations · 2016
- 8Towards Globally Consistent Visual-Inertial Collaborative SLAM8 citations · 2018
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- 10COVINS: Visual-Inertial SLAM for Centralized Collaboration3 citations · 2021