metadata
license: mit
language:
- en
task_categories:
- text-classification
tags:
- robotics
- uav
- control_systems
- stability
pretty_name: Clarus Drone Control Loop Stability Coherence Risk v0.1
dataset_id: drone-control-loop-stability-coherence-risk-v0.1
domain: robotics_uav
pillar: control_stability
series: DRONE-04
coherence_pair:
observable_a: control_latency_and_actuator_response
observable_b: oscillation_heading_error_and_disturbance_handling
ground_truth: ground_truth_label
validation_status: pre_release
What this repo is for
Detect when a drone’s control loop is drifting toward instability.
Focus • latency • oscillation • actuator response • tuning quality • disturbance handling
Why it matters Loss of control often starts as small oscillations. This dataset flags the instability early.