Autonomous Welding Robot Path Planning for Seam Detection
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Solution Overview
Problem
Conventional welding techniques are labor-intensive, inefficient, and inflexible, often resulting in misplaced welds and inefficiencies due to the need for skilled programmers to generate instructions for welding robots, which are not adequately precise for low- or medium-volume production settings and require complex path planning to avoid collisions.
Innovation Solution
A computer-implemented method that uses movable sensors to map the manufacturing workspace in 3D, allowing welding robots to automatically and dynamically identify and weld seams without prior information, and perform path planning to avoid collisions, using a combination of sensor data and CAD models for precise and accurate welding operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional welding techniques are used with skilled programmers generating instructions, then welding can be performed, but the process is labor-intensive and inefficient
Solution Approach 1:
The welding system performs self-positioning and self-alignment by automatically detecting seam geometry and calculating robot trajectory, eliminating the need for skilled programmers to manually generate welding instructions. The system serves itself by autonomously adapting to part variations.
Solution Approach 2:
Manual programming and mechanical positioning methods are replaced with automated optical sensing and computational trajectory generation. The system uses sensors to detect seam characteristics and automatically computes welding paths, substituting human-operated mechanical processes with automated sensing and control.
2Manufacturing precision
If complex path planning is implemented to avoid collisions, then welding accuracy improves, but device complexity increases
Solution Approach 1:
The welding system uses dynamic trajectory adjustment based on real-time seam detection. Rather than relying on pre-programmed complex paths, the robot dynamically adapts its motion trajectory by continuously sensing seam position and geometry, simplifying the control system while maintaining precision.
Solution Approach 2:
The system implements feedback control by using sensors to detect actual seam characteristics and adjusting the welding trajectory in real-time. This closed-loop approach ensures accurate weld placement without requiring complex open-loop path planning, as the system continuously corrects based on sensed information.
3Adaptability or versatility
If traditional welding methods are used, then production can continue, but the process is inflexible and results in misplaced welds
Solution Approach 1:
The system performs preliminary seam detection and geometry analysis before welding begins. By pre-characterizing the seam path and calculating the optimal trajectory in advance, the system prepares adaptive welding parameters that ensure both flexibility to handle irregularities and precision in weld placement.
Solution Approach 2:
The welding system dynamically adjusts operational parameters such as robot speed, torch angle, and welding current based on detected seam characteristics. This parameter adaptation allows the system to handle various part irregularities while maintaining consistent weld quality and accurate positioning.
Data Source
AI summary
In some examples, an autonomous robotic welding system comprises a workspace including a part having a seam, a sensor configured to capture multiple images within the workspace, a robot configured to lay weld along the seam, and a controller. The controller is configured to identify the seam on the part in the workspace based on the multiple images, plan a path for the robot to follow when welding the seam, the path including multiple different configurations of the robot, and instruct the robot to weld the seam according to the planned path.