I found the root paper “Dolphin Sam: A Smart Pet for Children with Intellectual Disability” while searching through papers on assistive soft robots. Dolphin Sam is responsive to the child using sound, vibration, and lights (1). I was most interested in the idea of how an assistive soft robot would use sensing to respond to the environment (2). This lead me to a paper claiming to build upon the concept of sensor-less soft robotics by reducing the amount of sensors needed to measure the same amount data as it did when it used more sensors (3).
- Root Paper.
Colombo, S., Garzotto, F., Gelsomini, M., Melli, M., & Clasadonte, F. (2016). Dolphin Sam: A Smart Pet for Children with Intellectual Disability. Proceedings of the International Working Conference on Advanced Visual Interfaces. 10.1145/2909132.2926090
2. Paper on wireless sensing soft robot.
Oh, B., Park, Y., Jung, H., Ji, S., Cheong, W.H., Cheon, J., Lee, W., & Park, J. (2020). Untethered Soft Robotics with Fully Integrated Wireless Sensing and Actuating Systems for Somatosensory and Respiratory Functions. Soft robotics. 10.1089/soro.2019.0066
3. Paper on using current measurements to measure stiffness, which could reduce the amount of sensors the soft robot would need.
Rizzello, G., Serafino, P., Naso, D., & Seelecke, S. (2020). Towards Sensorless Soft Robotics: Self-Sensing Stiffness Control of Dielectric Elastomer Actuators. IEEE Transactions on Robotics, 36, 174-188. 10.1007/978-3-030-29381-9_9