학술논문

A Compact Visuo-Tactile Robotic Skin for Micron-Level Tactile Perception
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(9):15273-15282 May, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Coatings
Skin
Sensors
Spraying
Elastomers
Deformation
Spatial resolution
Metal foil
multitask learning
visuo-tactile skin (VTS)
wire-drawing process
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Visuo-tactile skins (VTSs) are classified into coated-type, marker-type, and thermochromic-type. Coating wear resistance and spatial resolution are central issues for the coated-type VTS. This article proposes a wire-drawing process applied to the VTS to enhance the coating robustness. The wire-drawing coating has more stable mechanical properties, including high adhesion, adaptive deformation, and rupture resistance. Under different degrees of deformation, it can remain continuous and undamaged. In addition, the wire-drawing coating has a nanoscale particle distribution, whose microstructures are similar to the spraying coating to provide micron-scale spatial resolution. Via the wear resistance test, the wire-drawing coating has higher wear resistance than the spraying coating. Further, the VTS combined with a multitask learning model can identify textures and clothing properties of 18 different fabrics with more than 98% recognition accuracy. The results show that the VTS using the new process can provide highly learnable tactile data.