Edge Welding Robots With Real-Time Vision Feedback
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Solution Overview
Problem
Conventional industrial robots are unable to tolerate environmental variations, leading to failed tasks when environmental conditions differ from those expected by their numerical control programs.
Innovation Solution
A robot system comprising a positioning robot and a welding robot that captures imagery using optical devices, analyzes geometry with computer vision techniques, and adjusts operations in real-time to fabricate structures effectively despite environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a conventional industrial robot is programmed to perform a specific welding task using specialized hardware and NC programs, then the robot can execute precise welding operations, but the robot cannot tolerate environmental variations and will fail when conditions differ from expected settings
Solution Approach 1:
The system employs sensors to continuously monitor environmental conditions during welding operations and feeds this information back to the control system. The control system then dynamically adjusts welding parameters such as current, voltage, and robot positioning to compensate for detected variations, enabling the system to maintain welding precision despite environmental changes
Solution Approach 2:
The welding system transitions from static, pre-programmed NC sequences to dynamic real-time control. The robot controller continuously adapts welding parameters based on current environmental conditions, allowing the system to respond flexibly to variations in workpiece position, ambient temperature, or other changing conditions while maintaining precise welding execution
2Reliability
If an NC program dictates a precise sequence of movements for a robot to follow, then the robot can perform specific welding operations accurately, but the program cannot be executed properly when environmental conditions vary
Solution Approach 1:
Sensors monitor environmental conditions and workpiece positioning in real-time, providing feedback to the control system. This enables the robot to detect deviations from expected conditions and automatically adjust its movement sequence and welding parameters, maintaining reliable task execution despite environmental variations
Solution Approach 2:
The welding system performs self-correction by automatically detecting environmental variations and adjusting its own operation parameters without external intervention. The control system autonomously modifies the NC program execution based on sensor feedback, ensuring reliable task completion under varying conditions
Data Source
AI summary
A control application implements computer vision techniques to cause a positioning robot and a welding robot to perform fabrication operations. The control application causes the positioning robot to place elements of a structure at certain positions based on real-time visual feedback captured by the positioning robot. The control application also causes the welding robot to weld those elements into place based on real-time visual feedback captured by the welding robot. By analyzing the real-time visual feedback captured by both robots, the control application adjusts the positioning and welding operations in real time.