Robotic Arm 3D Vision Positioning With Encoder Error Correction
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Solution Overview
Problem
Conventional robotic arms have poor mobility and are inconvenient to deploy, requiring significant time and manpower for repositioning and evaluation, limiting their application in flexible manufacturing processes.
Innovation Solution
An automatic control device equipped with a processing unit and a camera unit that obtains and analyzes images to establish a three-dimensional working environment model and spatial positioning data, using inverse kinematics to correct the robotic arm's position and ensure accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional robotic arms are used to pursue speed and precision, then positioning accuracy is improved, but mobility and deployment convenience deteriorate
Solution Approach 1:
The patent replaces manual mechanical repositioning operations with an automated vision-based positioning system. The camera unit captures images of the robotic arm and working environment, and the processing unit automatically calculates positioning corrections through image analysis and inverse kinematics, eliminating the need for manual measurement and adjustment mechanisms.
Solution Approach 2:
The robotic arm positioning system performs self-correction through automated image analysis. The system captures images, identifies the robotic arm's current position and orientation, calculates positioning errors, and automatically generates correction commands without requiring external manual intervention, enabling the system to self-adjust and self-position.
2Measurement precision
If manual repositioning correction is performed on conventional robotic arms, then positioning accuracy is improved, but time consumption and manpower requirements increase
Solution Approach 1:
The patent replaces manual repositioning operations with an automated computer vision system. The processing unit automatically analyzes images captured by the camera unit, calculates positioning deviations, and generates correction commands, eliminating the need for manual measurement, marking, and adjustment operations that consume significant time and labor.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the camera unit continuously monitors the robotic arm's position, the processing unit compares the actual position with the target position, calculates positioning errors, and automatically generates correction commands. This real-time feedback loop enables rapid automated repositioning without manual intervention.
3Productivity
If conventional robotic arms are deployed in production lines, then manufacturing capability is maintained, but flexibility and adaptability to different production scenarios deteriorate
Solution Approach 1:
The vision-based positioning system serves multiple functions: it captures images of the robotic arm, identifies the working environment, calculates positioning deviations, generates correction commands, and adapts to different production scenarios. This single integrated system replaces multiple specialized manual operations, enabling the robotic arm to flexibly adapt to different manufacturing tasks while maintaining productivity.
Data Source
AI summary
An automatic positioning method and an automatic control device are provided. The automatic control device includes a processing unit, a memory unit, and a camera unit to automatically control a robotic arm. When the processing unit executes a positioning procedure, the camera unit obtains a first image of the robotic arm. The processing unit analyzes the first image to establish a three-dimensional working environment model and obtains first spatial positioning data. The processing unit controls the robotic arm to move a plurality of times to sequentially obtain a plurality of second images of the robotic arm by the camera unit and analyzes the second images and encoder information of the robotic arm to obtain second spatial positioning data. The processing unit determines whether an error parameter between the first spatial positioning data and the second spatial positioning data is less than a specification value to end the positioning procedure.