Dataset for "Learning coordinated badminton skills for legged manipulators"

This dataset contains experimental data from the legged manipulator robot performing coordinated badminton skills. It includes raw sensor data from various experiments demonstrating racket velocity tracking, active perception behavior, gait adaptation, perception noise modeling, and ablation studies. The data is provided in ROS bag files, ZIP archives, and pickled Python dictionaries. For detailed instructions on how to use this dataset, including information about file formats, key topics, and data processing examples, please refer to this README file. The dataset is designed to support reproducibility of the results presented in the paper "Learning coordinated badminton skills for legged manipulators" and to facilitate further research in this area.