Sparse Neural Circuit Policies for Underwater Vehicle Trajectory Tracking in Complex Environments

This dataset contains the real-world experimental data associated with the manuscript entitled “Sparse Neural Circuit Policies for Underwater Vehicle Trajectory Tracking in Complex Environments”. The dataset includes lake-experiment trajectory logs, underwater vehicle state data, sensor measurements, controller outputs used in this study. The provided data support the evaluation of trajectory-tracking performance, actuator smoothness, and closed-loop control behavior under disturbed underwater operating conditions. The dataset is organized to facilitate reproducibility and further research on sparse neural-network-based underwater vehicle control systems.