Intelligent Gripper Systems Using Air Gap‐Controlled Bimodal Tactile Sensors for Deformable Object Classification

Intelligent Gripper Systems Using Air Gap‐Controlled Bimodal Tactile Sensors for Deformable Object Classification

Multimodal tactile sensors have played an important role in enhancing robot intelligence by providing reliable datasets originating from their high accuracy and durability characteristics. Herein, bimodal tactile sensors capable of simultaneously recognizing the size and stiffness of grasped objects...

Full description

Bibliographic Details
Main Authors: Yulim Min, Yunjeong Kim, Hanbit Jin, Hye Jin Kim
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Advanced Intelligent Systems
Subjects:
air gap-controlled sensors
artificial neural networks
bimodal tactile sensors
classifications
intelligent grippers
machine learning
Online Access:https://doi.org/10.1002/aisy.202300317

Internet

https://doi.org/10.1002/aisy.202300317

Similar Items