Automated Classification and Placement of Sub-Millimeter Objects Using a Capillary Force Gripper with Machine Learning: Results for Four Object Types (IMAGE)

Yokohama National University

Automated Classification and Placement of Sub-Millimeter Objects Using a Capillary Force Gripper with Machine Learning: Results for Four Object Types

Caption

This figure illustrates the automated classification and placement system that integrates a capillary force gripper with machine learning. The left panel shows the system configuration, in which a liquid bridge is used for gripping sub-millimeter objects detected and classified by the trained model. The right panel presents the experimental results of automatic pick-and-place operations performed on four different categories of sub-millimeter objects (e.g., screws, capacitors, and glass beads).

Credit

YOKOHAMA National University

Usage Restrictions

News organizations may use or redistribute this image, with proper attribution, as part of news coverage of this paper only.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.