Papers
9
Total Citations
576
H-Index
7
About
Gabriel Elkaim is a leading researcher in autonomous systems, sensor calibration, and robotic control, with a career marked by foundational contributions to both theory and field-deployed platforms. His most influential work, the 2011 paper "Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame," has garnered over 311 citations, introducing a novel onboard calibration algorithm that compensates for soft iron, hard iron, and sensor non-orthogonality distortions—a critical advancement for reliable navigation in GPS-denied environments. Elkaim’s impact extends to autonomous ground vehicles through his work on the Overbot, a DARPA Grand Challenge platform, where he developed spline-based, obstacle-avoiding path planning algorithms (62 citations) and lightweight formation control for non-holonomic vehicle swarms (48 citations). His research also addresses real-time trajectory generation using Voronoi diagrams and Bézier curves, and innovative applications like momentum-based front detection for autonomous underwater vehicles. Notable achievements include his leadership in the MACH-1 Mars Flyer competition, modeling control systems for Martian aircraft, and a hybrid control strategy for multi-obstacle navigation. With a career blending rigorous geometric methods and practical robotics, Elkaim’s work continues to shape autonomous navigation, sensor fusion, and swarm robotics.
Research Focus
Key Achievements
Top Papers
- 1Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame311 citations · 2011
- 2A Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame79 citations · 2008
- 3Analysis of a Spline Based, Obstacle Avoiding Path Planning Algorithm62 citations · 2007
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- 6Real-Time Obstacle-Avoiding Path Planning for Mobile Robots26 citations · 2010
- 7
- 8Control System Modeling and Design for a Mars Flyer, MACH-1 Competition4 citations · 2008
- 9