Deep learning-assisted object recognition with hybrid triboelectric-capacitive tactile sensor.

ABSTRACT: Tactile sensors play a critical role in robotic intelligence and human-machine interaction. In this manuscript, we propose a hybrid tactile sensor by integrating a triboelectric sensing unit and a capacitive sensing unit based on porous PDMS. The triboelectric sensing unit is sensitive to the surface material and texture of the grasped objects, while the capacitive sensing unit responds to the object's hardness. By combining signals from the two sensing units, tactile object recognition can be achieved among not only different objects but also the same object in different states. In addition, both the triboelectric layer and the capacitor dielectric layer were fabricated through the same manufacturing process. Furthermore, deep learning was employed to assist the tactile sensor in accurate

SUBMITTER: Xie Y 

PROVIDER: S-EPMC11543809 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature