Data and code for: Rapid speed control of traveling-wave ultrasonic motors using sensorless deep reinforcement learning
Abstract
This Zenodo record provides the processed datasets (CSV) and Python scripts used to reproduce the figures in the article "Rapid speed control of traveling-wave ultrasonic motors using sensorless deep reinforcement learning" by Tatsuki Sasamura and Takeshi Morita, published in Sensors and Actuators A: Physical 409, 118114 (2026), https://doi.org/10.1016/j.sna.2026.118114. Raw experimental data and training logs/model weights are not included due to confidentiality restrictions related to an industry collaboration. Data are released under CC BY 4.0; code is released under the MIT License.
Fields of Study & Subjects
Piezoelectric Actuators and Control
Iterative Learning Control Systems
Reinforcement Learning in Robotics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026
- Language
- EN
- Document type
- Dataset