Substrate transport assembly and method

By emitting light and capturing images in the substrate transfer assembly, and combining image analysis to control substrate transfer, the problem of collision hazards during substrate transfer is solved, achieving stable and reliable transfer control and avoiding collisions with objects in front.

CN115706036BActive Publication Date: 2026-07-17SYSTEM ENGINEERING MEGA SOLUTION CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SYSTEM ENGINEERING MEGA SOLUTION CO LTD
Filing Date
2022-06-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the existing technology, there is a risk of collision during the transfer of substrates that is difficult to prevent. In particular, when the learning data of the transfer robot is abnormal, the substrate is easily transferred to an abnormal position. Furthermore, the method of taking pictures with a camera or emitting light and receiving reflected light cannot fully identify obstacles in front, which increases the risk of collision and results in a slow response.

Method used

The system employs a substrate transport assembly, including a robotic arm body, a light emitting component, and an imaging component. By emitting light forward and capturing images, the control unit controls the substrate transport based on image analysis, divides areas to determine collision hazards, and captures images in real time or periodically to identify object positions and movement changes, ensuring stable and reliable transport.

Benefits of technology

It effectively prevents the substrate from colliding with objects in front, improving the stability and reliability of the transmission process. It can promptly identify and avoid collisions with obstacles in unreached areas, thus enhancing the speed and reliability of transmission.

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    Figure CN115706036B_ABST
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Abstract

The present invention relates to a substrate transfer assembly and method, and relates to grasping a collision risk degree based on emitting light to a forward movement path and taking a captured image of a form of an image formed by the emitted light.
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