Open Rotor Copilot: Neural Blackbox Analysis

Model Card for `rbarac/open-rotor-copilot`

Model Details

Model Description

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.

Developed by: Bahadir Arac
Model type: Transformer (sequence classification, text-to-label)
Language(s) (NLP): English

Model Sources

Repository: https://huggingface.co/rbarac/open-rotor-copilot

Uses

Direct Use

Automated analysis of Betaflight/INAV/ArduPilot blackbox logs
FPV drone diagnostics for issues such as vibration, motor problems, signal loss, or sensor faults
Assisting pilots in understanding potential causes for in-flight anomalies
Integrating into post-flight dashboards or tools (e.g., Gradio demo, local scripts)

Downstream Use

Research into drone reliability, flight risk, and root cause modeling
Educational purposes (for teaching blackbox log interpretation)
Automated labeling for LLM training

Out-of-Scope Use

Direct control of flight hardware (this model is for analysis only)
Use in domains outside of drone telemetry without further evaluation

Bias, Risks, and Limitations

Model accuracy depends on the representativeness of training data
Unusual or novel failure modes not present in data may not be detected
Not a replacement for domain expertise—should be used as an assistant, not sole authority

Recommendations

Always review results, especially for safety-critical applications
Contribute new log data or open issues to help improve the model

How to Get Started with the Model

from transformers import pipeline

pipe = pipeline("text-classification", model="rbarac/open-rotor-copilot")

# Example input (windowed feature string, hybrid format)
input_str = "gyro_std=123.56, rcCommand3_mean=1150.2, vbat_drop=0.91, rssi_min=17.2, ..."

result = pipe(input_str)
print("Predicted Issue(s):", result[0]['label'])

rbarac/open-rotor-copilot