Mathieu Joerger
University of Arizona, Virginia Tech, Illinois Institute of Technology
Papers
9
Total Citations
138
H-Index
7
About
Mathieu Joerger is a leading researcher in the field of robot localization safety, whose work bridges the gap between aviation-grade integrity monitoring and autonomous mobile robotics. His primary research areas include integrity risk quantification, fault detection for Kalman filters, and safe localization for life-critical robotic applications. Joerger’s major contribution lies in adapting the aviation concept of “integrity risk”—the probability of undetected localization failures—to ground robots, providing a rigorous mathematical framework for certifying autonomous systems that operate near humans. His most influential work, “Recursive Integrity Monitoring for Mobile Robot Localization Safety” (29 citations), introduces a recursive methodology for evaluating localization safety, while “Efficient Integrity Monitoring for KF-based Localization” (23 citations) offers computationally tractable solutions for real-time monitoring. Notably, his 2024 paper on particle filtering safety (13 citations) extends these principles to non-Gaussian estimators, addressing a critical gap in the literature. With over 130 total citations across his top papers, Joerger’s research is foundational for certifying autonomous vehicles, delivery drones, and exploratory robots, making him a key figure in the emerging field of safety-critical robotics.
Research Focus
Key Achievements
Top Papers
- 1Recursive Integrity Monitoring for Mobile Robot Localization Safety29 citations · 2019
- 2Efficient Integrity Monitoring for KF-based Localization23 citations · 2019
- 3
- 4Integrity monitoring for Kalman filter-based localization17 citations · 2020
- 5Local Nearest Neighbor Integrity Risk Evaluation for Robot Navigation16 citations · 2018
- 6
- 7Localization Safety Validation for Autonomous Robots10 citations · 2020
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- 9