Robot Gripper Vision Recognition Pattern Automation
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Solution Overview
Problem
Existing methods for robotically manipulating workpieces require operator intervention for teaching and parameterization, which is costly and inefficient, especially for small series production.
Innovation Solution
A method using a gripper with a recognition pattern recognizable by a vision system, allowing for one-time setup to determine the gripper's position and orientation, enabling the robot to automatically grip and manipulate subsequent workpieces without repeated teaching or parameterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a vision system is used to locate and parameterize workpieces for robotic manipulation, then the ability to handle arbitrary workpiece positions and orientations is improved, but the requirement for operator intervention for teaching and parameterization increases
Solution Approach 1:
The system enables self-service by allowing the robot to automatically locate and manipulate workpieces using vision system guidance. The workpiece itself provides location information through its features, eliminating the need for operator teaching and parameterization for each workpiece while maintaining adaptability to arbitrary positions and orientations.
2Measurement precision
If operator teaching and parameterization is performed for each workpiece, then positioning accuracy is improved, but production time and cost increase
Solution Approach 1:
The system performs preliminary action by pre-programming the robot with general manipulation instructions and pre-configuring the vision system to recognize workpiece features. This allows the robot to automatically locate and handle each workpiece without requiring time-consuming operator teaching, thereby maintaining positioning accuracy while significantly increasing production speed.
3Extent of automation
If a recognition pattern is added to the gripper, then the automation level is improved, but the device complexity increases
Solution Approach 1:
The system applies the color changes principle by using optical recognition patterns (such as colored markers or reflective features) on the gripper and/or workpiece that can be easily detected by the vision system. This simple visual differentiation enables automatic recognition and positioning without requiring complex mechanical or electronic modifications to the gripper structure.
Data Source
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AI summary
Method for manipulating a series of successively presented identical or almost identical workpieces (3) of a given type with a device (1) that comprises a robot (4) with a changeover system (7) for connecting and disconnecting one or more grippers (5); one or more grippers (5); and a vision system (6) or similar in which an image of an object can be stored in a memory, whereby the gripper (5) is provided with a recognition pattern (9) recognisable by the vision system (6), an image of which is stored in the memory, and which enables the place and orientation of the gripper (5) to be determined, more specifically when it is affixed to a workpiece (3) of the given type.