Flapping Wing System Dataset Robotics Dataset

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The Flapping Wing System Dataset is a dataset created specifically for studying the deep inverse mapping model of flapping wing robot wings.A deep inverse-mapping model for a flapping robotic wing", developed by researchers such as Hadar Sharvit, Raz Karl and Tsevi Beatus in 2025, aims to provide a new learning framework for the control of flapping robot wings. The datasets are divided into proprietary datasets and open source datasets. This site only provides open source dataset data.

The Flapping Wing System Dataset contains kinematic and force data of a custom-built robotic wing-flapping system, collected using high-sampling rate sensors and synchronized motion tracking cameras. It contains 548 experiments, 470 time points per experiment, 3 wing rotation angles (pitch, yaw, roll) and 5 features (3 force measurements and 2 torque measurements), with a data sampling rate of 25 Hz.

The dataset has a high sampling rate and the data length of each experiment varies, providing rich variability and wide applicability. In addition, the dataset is clearly organized and easy to access and use. The creation of this dataset has an important impact on the research field of flapping machines, providing a new research method and experimental data for related fields.