Robot Motion Dataset

The Robot Motion Dataset contains experimental data from a study investigating human-robot interaction with a leader who used a teleoperated follower robot. So, thirty participants controlled the TFR wearing a virtual reality (VR) headset and using a rudder platform.  Thus, the dataset includes sensor data such as accelerometer, gyroscope, trajectory, objects' distance, data questionnaires, and so forth. 

The dataset is used in the work presented in the following articles:

• Di Tecco, A., Genua, A., Serra, F., Camardella, C., Loconsole, C., Ragusa, E., ... & Frisoli, A. (2025, February). Evaluation of a Haptic-Actuated Glove for Remote Human-Robot Interaction (HRI): A Proof of Concept. In European Robotics Forum (pp. 213-219). Cham: Springer Nature Switzerland.
• Di Tecco, A., Frisoli, A., Loconsole, C. (2025, August). Machine Learning for Predicting User Satisfaction in Human-Robot Interaction (HRI) Teleoperation Tasks. In IEEE ACCESS.