Which risk increases when Kalman filter sensor fusion estimates in robotics degrade due to unexpected dynamics noise?

💡 Explanation

Unstable trajectory tracking happens because the Kalman filter, relying on noisy data and increased process variance, provides incorrect state estimates used in the robot's control loop; therefore, incorrect state feedback causes oscillatory or divergent motion, rather than allowing correct trajectory calculations.

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