Open Rotor Copilot is an open-source neural model for automated blackbox analysis and issue detection in FPV drone flight logs. Given a windowed feature string (representing a segment of Blackbox telemetry), it predicts likely flight anomalies or faults and provides concise human-readable explanations. This model enables pilots, engineers, and researchers to automate log review and root cause analysis for multirotor platforms.
1from transformers import pipeline
2
3pipe = pipeline("text-classification", model="rbarac/open-rotor-copilot")
4
5# Example input (windowed feature string, hybrid format)
6input_str = "gyro_std=123.56, rcCommand3_mean=1150.2, vbat_drop=0.91, rssi_min=17.2, ..."
7
8result = pipe(input_str)
9print("Predicted Issue(s):", result[0]['label'])
