Passive and active acoustic sensing for soft pneumatic actuators. (March 2023)

• Record Type: Journal Article
• Authors: Wall, Vincent; Zöller, Gabriel; Brock, Oliver
• Is Part Of: International journal of robotics research. Volume 42:Number 3(2023)
• Page Start: 108
• Page End: 122
• Publication Date: 2023-03
• Subjects: Acoustic sensing -- force and tactile sensing -- computational sensor -- soft sensors -- pneumatic actuators -- soft robotics; Robots -- Periodicals; Robots, Industrial -- Periodicals; 629.89205
• DOI: 10.1177/02783649231168954
• Languages: English
• ISSNs: 0278-3649

Abstract

We propose a sensorization method for soft pneumatic actuators that uses an embedded microphone and speaker to measure different actuator properties. The physical state of the actuator determines the specific modulation of sound as it travels through the structure. Using simple machine learning, we create a computational sensor that infers the corresponding state from sound recordings. We demonstrate the acoustic sensor on a soft pneumatic continuum actuator and use it to measure contact locations, contact forces, object materials, actuator inflation, and actuator temperature. We show that the sensor is reliable (average classification rate for six contact locations of 93%), precise (mean spatial accuracy of 3.7 mm), and robust against common disturbances like background noise. Finally, we compare different sounds and learning methods and achieve best results with 20 ms of white noise and a support vector classifier as the sensor model.