Papers
65
Total Citations
4,627
H-Index
29
About
Margarita Chli is a leading robotics researcher whose work sits at the intersection of autonomous navigation, computer vision, and multi-sensor fusion, with a particular focus on Micro Aerial Vehicles (MAVs) and Unmanned Aerial Vehicles (UAVs). Her research has fundamentally advanced how small flying robots perceive and navigate complex, GPS-denied environments, combining visual and inertial sensing modalities to achieve robust, real-time state estimation. Her 2013 paper on robust multi-sensor fusion has accumulated over 570 citations, while her foundational contributions to keyframe-based visual-inertial SLAM using nonlinear optimization—a landmark shift away from traditional filtering approaches—have collectively attracted over 600 citations across related publications. Chli's work on onboard real-time self-calibration for MAVs (421 citations) demonstrated that lightweight aerial platforms could autonomously localize and map unknown environments without external infrastructure. She has further pushed the frontier of collaborative robotics, developing CCM-SLAM and multi-UAV SLAM systems that enable teams of robots to jointly build maps, critical for search-and-rescue and agricultural applications. With a body of work exceeding 3,000 cumulative citations, Chli has established herself as a defining voice in autonomous aerial robotics and simultaneous localization and mapping research.
Research Focus
Key Achievements
Top Papers
- 1A robust and modular multi-sensor fusion approach applied to MAV navigation571 citations · 2013
- 2Robotics and Automation, 2009. ICRA '09. IEEE International Conference on500 citations · 2009
- 3Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization424 citations · 2013
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- 8Keyframe-based Visual-Inertial SLAM using Nonlinear Optimization183 citations · 2013
- 9Multi-UAV collaborative monocular SLAM182 citations · 2017
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