Vision-Guided Robotic Arm Positioning for Precise Part Insertion
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Solution Overview
Problem
Existing manufacturing methods for precise component placement and insertion rely on human operators, leading to potential errors due to human fatigue and inaccuracies in long chains of spatial calculations used by robotic systems.
Innovation Solution
The implementation of a method and system for automated part insertion using image analysis and robotic arms, where images of components, parts, and insertion devices are analyzed to determine precise coordinates, allowing for accurate placement and insertion without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used for component placement, then dexterity and fine manipulation are achieved, but human error and fatigue cause inaccuracies
Solution Approach 1:
The patent replaces manual mechanical operations with an automated robotic system that uses image analysis and coordinate transformation algorithms to achieve precise component placement. The system substitutes human dexterity with automated vision-guided positioning, eliminating human error while maintaining placement accuracy through computational methods.
2Extent of automation
If long chains of spatial calculations are used in robotic systems, then automated positioning is achieved, but accumulation of errors reduces accuracy
Solution Approach 1:
The patent segments the spatial calculation process into distinct coordinate transformation stages, each handling a specific aspect of position mapping. By breaking down the complex chain of spatial calculations into manageable segments with clearly defined transformation relationships, the system reduces error propagation while maintaining automated positioning capability.
Solution Approach 2:
The system implements feedback through image analysis that captures the actual positions of components and robotic elements, then uses this visual information to correct and refine position calculations. This feedback loop compensates for accumulated errors in the spatial calculation chain by continuously comparing calculated positions with visually verified positions.
3Productivity
If robotic arms are used for automated insertion, then productivity increases, but complexity of motion control and positioning increases
Solution Approach 1:
The patent introduces image analysis and coordinate transformation systems as intermediaries between the robotic arm's motion control and the target component positions. This intermediary layer simplifies the control complexity by providing a visual reference framework that automatically translates complex spatial relationships into straightforward positioning commands, enabling high-speed automated insertion without proportionally increasing control system complexity.
Data Source
AI summary
A positioning system is provided for insertions and placements with increased accuracy and precision for the placement and insertion of components into elements. The system may utilize one or more sensors to provide individual images or data for each individual insertion of components into elements. The system may use known information to compare the individual images or data to provide increased accuracy and precision for insertion of components into elements.


