Skill

sensor-fusion-kalman

Use when fusing noisy sensors (IMU, GPS, wheel odometry, vision) into a state estimate, implementing or debugging a Kalman filter / EKF / UKF, tuning Q and R covariances, or configuring robot_localization in ROS2. Provides the math, worked examples, tuning methodology, and production failure modes.

Claim this listing

Connect your GitHub to prove you own or maintain this listing. We verify repo access automatically — most publishers are confirmed in seconds.

1Connect GitHub
2Submit your claim
3Auto-verified, or reviewed within 48h