Abstract
The use of piezoelectric sensor arrays to measure contact forces has been extensively studied in connection to robotics. In this research, Polyvinylidene Fluoride (PVDF) has been used for direct measurement of the mechanical stress and large bandwidth electromechanical transduction. Additionally, a machine learning algorithm has been specifically designed to deal with the inherent tensor morphology of raw tactile data. An experiment involving 70 participants has been organized to collect the output signals under different modalities of touch. The proposed pattern-recognition system showed good accuracy in performing touch classification in a three-class classification experiment, opening interesting scenarios for the application of tensor-based models to support human–robot interactions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.