Sensor Fusion and Anomaly Detection with LLMs

implementationChallenge

Prompt Content

Implement a simulated sensor suite (e.g., LIDAR, camera, IMU) and develop a sensor fusion algorithm (e.g., an Extended Kalman Filter) to estimate the relative state. Detail how you would integrate Grok-2 (via OpenAI API) with Haystack to process these sensor readings. Specifically, how could Grok-2 analyze patterns in noisy sensor data to identify anomalies or predict potential control issues, and then provide actionable advice for dynamic mission adaptation? This ties into the 'RobustnessToUncertainty' evaluation.

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