Robot Taught Point Correction via Positional Rules
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Solution Overview
Problem
In industrial robotics, correcting taught points in operation programs requires a significant number of steps and skilled operator intervention, leading to increased workload and potential for erroneous corrections, especially when dealing with modifications in automated manufacturing systems where hardware and software changes are extensive.
Innovation Solution
A device, program, and method that automatically correct position data of correlated taught points based on predefined rules, reducing the number of steps and operator expertise required, by judging and validating corrections to ensure accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If taught points are corrected one by one manually, then correction accuracy can be maintained, but the workload and time required increase significantly
Solution Approach 1:
The system performs self-correction by automatically identifying and correcting taught points based on workpiece position data. The correction unit autonomously calculates corrected positions using position relationship expressions without requiring manual intervention for each taught point, enabling the system to serve itself in the correction process.
Solution Approach 2:
The patent replaces the manual mechanical correction process with an automated computational system. The correction unit uses computer-based calculations and position relationship expressions to substitute the manual teaching process, transforming a labor-intensive mechanical operation into an automated information processing task.
2Productivity
If multiple taught points are corrected simultaneously, then efficiency improves, but the risk of erroneous corrections increases
Solution Approach 1:
The system incorporates feedback mechanisms where the correction unit continuously references position relationships and workpiece position data to verify corrections. The control unit monitors the correction process and can validate whether corrected taught points maintain proper spatial relationships, providing feedback to ensure correction reliability.
Solution Approach 2:
The system performs preliminary actions by establishing position relationship expressions before correction begins. These pre-defined relationships serve as templates that guide the correction process, ensuring that simultaneous corrections maintain proper spatial relationships without requiring trial-and-error adjustments.
3Manufacturing precision
If skilled operators perform teaching and correction, then quality is maintained, but training costs and operational complexity increase
Solution Approach 1:
The system performs self-teaching and self-correction functions by automatically acquiring workpiece position data and calculating corrected taught points. This eliminates the need for skilled operators to manually teach each point, allowing less trained personnel to operate the system while maintaining quality through automated calculations.
Solution Approach 2:
The system creates copies of position relationships from the workpiece data and applies them to generate corrected taught points. By copying and transforming the workpiece position information through position relationship expressions, the system reproduces accurate taught points without requiring manual replication by skilled operators.
Data Source
AI summary
A taught point correcting device for correcting a taught point in an operation program of a robot. The device includes a judging section judging whether position data of any of a plurality of different taught points, previously taught and included in an operation program, has been corrected or not; and a data correcting section correcting, when the judging section judges that position data of a first taught point among the different taught points has been corrected, position data of a correlative taught point having a relative positional relationship with the first taught point, in accordance with a taught-point rule previously prescribing the relative positional relationship between the different taught points. The device may also include a storing section storing the taught-point rule. The taught-point rule may include a rule prescribing a distance between any two taught points among the different taught points.