3D Scanner-Guided Robot Painting for Precise Low-Overspray Coating
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Solution Overview
Problem
Painting in confined environments like paint booths requires specialized personnel and equipment, which are hard to find and retain, and existing systems lack efficient automation for precise paint application.
Innovation Solution
A scanner-robot arrangement using a 3-D scanner and processor to detect objects, determine painting areas, and guide a robotically controlled applicator along a path to apply paint accurately, with high transfer efficiency applicators ensuring minimal overspray.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual painting is performed in a paint booth, then paint application can be controlled in a confined space, but specialized personnel are required and operational complexity increases
Solution Approach 1:
The system enables self-service automated painting where the robot autonomously performs paint application without requiring specialized human operators inside the paint booth. The robot navigates, positions, and applies paint automatically based on pre-programmed paths, eliminating the need for trained personnel to work in hazardous confined spaces while maintaining proper paint application control
Solution Approach 2:
The patent replaces the mechanical system of manual painting operations with an automated robotic system. The robot mechanically performs all painting tasks including movement along predefined paths, positioning of the spray gun, and activation of paint delivery, substituting human mechanical actions with automated mechanical and computational control
2Productivity
If automated painting systems are implemented, then personnel requirements are reduced, but manufacturing precision must be maintained for accurate paint application
Solution Approach 1:
The system incorporates feedback mechanisms where the robot receives real-time data from sensors and processors about its position, the object geometry, and paint application status. This feedback loop allows the robot to adjust its movements and spray parameters dynamically to maintain precise paint application accuracy while operating autonomously at high speed
Solution Approach 2:
The system performs preliminary actions by pre-programming the robot's path and painting parameters before operation. The robot is provided with advance information about the object's 3D geometry, identified painting areas, and optimized trajectories, allowing it to execute precise paint application automatically without real-time human intervention while maintaining high productivity
3Ease of manufacture
If traditional spray painting is used, then paint application is simple, but material loss increases due to overspray
Solution Approach 1:
The system applies dynamic control to the paint application process where the robot continuously adjusts spray parameters, movement speed, and positioning based on real-time conditions. This dynamic adaptation allows the system to maintain simple automated operation while optimizing paint transfer efficiency and minimizing overspray losses through precise, adaptive control
Data Source
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AI summary
Methods and systems for robotically painting an object are provided. In one example, the method includes providing a scanner-robot arrangement. The scanner-robot arrangement includes a 3-D scanner, a robot, and at least one processor. The object is detected and an area to be painted is determined with the 3-D scanner in communication with the at least one processor. A robot path for painting the area is produced using the at least one processor. An applicator is held offset from the area of the object with the robot in communication with the at least one processor. The applicator is in fluid communication with a paint source that contains paint. The applicator is moved along the robot path with the robot in communication with the at least one processor while depositing the paint from the applicator onto the area of the object.