Daniel W. Stouch

Papers

Total Citations

406

H-Index

About

Daniel W. Stouch is a leading figure in robotics and autonomous systems, with a particular focus on state estimation, sensor fusion, and the practical deployment of advanced algorithms. His most impactful contribution is the development of a generalized Extended Kalman Filter (EKF) implementation for the Robot Operating System (ROS), a seminal 2015 paper that has garnered over 400 citations. This work provided the robotics community with a robust, modular, and widely adopted framework for fusing data from multiple sensors—such as GPS, IMUs, and odometry—enabling reliable localization and navigation for countless mobile robots. Stouch’s contributions have been instrumental in bridging the gap between theoretical estimation techniques and real-world robotic applications, making complex state estimation accessible to researchers and engineers alike. Beyond this landmark paper, his research has advanced multi-robot coordination and perception systems, with his work cited extensively in fields ranging from autonomous vehicles to unmanned aerial vehicles. Stouch’s ability to create tools that are both rigorous and practical has cemented his reputation as a key enabler of modern robotics, and his EKF implementation remains a cornerstone of ROS-based autonomy.