Smart Cassette Laser Calibration for Robotic Arm Wafer Alignment
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Solution Overview
Problem
Current robotic arm calibration in semiconductor processes is often inaccurate due to manual methods, leading to wafer positioning errors that can cause scratching or cracking.
Innovation Solution
A smart cassette equipped with vertical sensors and a processor that continuously measure the robotic arm's position during wafer placement, using lasers to determine offset and provide correction commands for precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration method is used, then operation simplicity is maintained, but positioning precision deteriorates due to visual angle error and personal judgment factors
Solution Approach 1:
The patent replaces manual visual calibration with an automated optical sensing system. Vertical sensors equipped with lasers automatically detect wafer position, eliminating human visual angle errors and subjective judgment. The system substitutes mechanical/manual operations with automated optical-mechanical integration, achieving precise positioning without increasing operational complexity.
Solution Approach 2:
The calibration system performs self-calibration by automatically detecting wafer position through vertical sensors and generating correction commands without external intervention. The robotic arm system calibrates itself by measuring actual wafer placement positions and autonomously computing positional deviations, eliminating the need for manual calibration operations.
2Reliability
If manual calibration is performed, then device complexity remains low, but reliability deteriorates due to wafer scratching or cracking from positioning deviation
Solution Approach 1:
The system implements real-time feedback by using vertical sensors to detect actual wafer placement positions, comparing them with target positions, and generating correction commands. This closed-loop feedback mechanism ensures reliable wafer placement by continuously monitoring and correcting positional deviations, preventing wafer damage through automated adjustment.
Solution Approach 2:
The system performs preliminary calibration actions by measuring wafer placement positions before actual production operations. The vertical sensors detect positional deviations in advance, and correction commands are generated proactively to prevent wafer damage during subsequent wafer handling operations.
3Measurement precision
If automated sensor measurement is implemented, then positioning precision is improved, but device complexity increases due to additional sensors and processing units
Solution Approach 1:
The smart cassette is designed as a multi-functional integrated system where vertical sensors serve multiple purposes: detecting wafer placement positions, measuring positional deviations, and providing data for correction command generation. The robotic arm system performs both wafer transfer and self-calibration functions, reducing the need for separate dedicated calibration devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system accurately adjusts the robotic arm to prevent wafer damage by correcting positioning deviations in real-time, enhancing precision and reducing human error.
Implementation Method 1
the first vertical sensor emits a plurality of first lasers to a bottom surface of the sample wafer
Implementation Method 2
receives a plurality of first reflected lights reflected from the bottom surface
Data Source
AI summary
A smart cassette and a calibration method for a robotic arm are provided. The smart cassette includes a carrier, a first vertical sensor, a second vertical sensor, a battery and a processor. The first vertical sensor is disposed on a first inner side of the carrier to obtain a plurality of first sensing values. The second vertical sensor is disposed on a second inner side of the carrier to obtain a plurality of second sensing values. The processor analyzes the first sensing values to obtain a first maximum sensing value and a first minimum sensing value, and analyzes the second sensing values to obtain a second maximum sensing value and a second minimum sensing value. The first maximum sensing value, the first minimum sensing value, the second maximum sensing value and the second minimum sensing value are sent to a server to provide a correction command.