학술논문

Single and Bi-Layered 2-D Acoustic Soft Tactile Skin
Document Type
Conference
Source
2024 IEEE 7th International Conference on Soft Robotics (RoboSoft) Soft Robotics (RoboSoft), 2024 IEEE 7th International Conference on. :133-138 Apr, 2024
Subject
Robotics and Control Systems
Surface acoustic waves
Estimation
Soft robotics
Robot sensing systems
Acoustic measurements
Skin
Acoustics
Language
ISSN
2769-4534
Abstract
This paper aims to present an innovative and cost-effective design for Acoustic Soft Tactile (AST) Skin, with the primary goal of significantly enhancing the accuracy of 2-D tactile feature estimation. The existing challenge lies in achieving precise tactile feature estimation, especially concerning contact geometry characteristics, using cost-effective solutions. We hypothesise that by harnessing acoustic energy through dedicated acoustic channels in 2 layers beneath the sensing surface and analysing amplitude modulation, we can effectively decode interactions on the sensory surface, thereby improving tactile feature estimation. Our approach involves the distinct separation of hardware components responsible for emitting and receiving acoustic signals, resulting in a modular and highly customisable skin design. Practical tests demonstrate the effectiveness of this novel design, achieving remarkable precision in estimating contact normal forces (MAE < 0.8 N), 2D contact localisation (MAE < 0.7 mm), and contact surface diameter (MAE < 0.3 mm). In conclusion, the AST skin, with its innovative design and modular architecture, successfully addresses the challenge of tactile feature estimation. The presented results showcase its ability to precisely estimate various tactile features, making it a practical and cost-effective solution for robotic applications.