Robot Sealant Application with 3D Shape and Position Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing robot systems for sealant application on automobile bodies face challenges in accurately applying sealants due to variations in the three-dimensional shape and position of the vehicle bodies, which can result from machining impreciseness and mechanical errors, leading to inconsistent sealant application.
Innovation Solution
A robot system equipped with three-dimensional sensors and cameras that detect the shape and position of the vehicle body, with circuitry that corrects teaching data to ensure precise sealant application, allowing the robots to adapt to individual variations and mechanical displacements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If robot systems use fixed teaching data for sealant application, then the control system is simple, but the sealant application accuracy deteriorates due to variations in vehicle body shape and position
Solution Approach 1:
The system performs preliminary measurement of the vehicle body's three-dimensional shape and position before sealant application. The teaching data is corrected in advance based on these measurements, allowing the robot to adapt to individual variations without real-time adjustment during the application process itself.
Solution Approach 2:
The system uses measurement data from the vehicle body's actual shape and position as feedback to correct the teaching data. This closed-loop approach ensures that the sealant application accurately follows the intended path despite variations in the vehicle body, resolving the contradiction between simplicity and precision.
2Reliability
If the robot system adapts to individual variations in vehicle body, then the sealant application consistency improves, but the measurement and correction process complexity increases
Solution Approach 1:
The system replaces complex mechanical adjustment mechanisms with optical measurement (three-dimensional shape detection) and computational correction. Instead of physically adjusting the robot for each vehicle, the system uses sensors to detect variations and automatically corrects the teaching data through calculation, achieving high reliability with reduced mechanical complexity.
3Manufacturing precision
If real-time measurement and correction is implemented, then the sealant application precision improves, but the processing time increases
Solution Approach 1:
The measurement and correction processes are performed in advance before the actual sealant application. By completing the three-dimensional shape detection and teaching data correction beforehand, the system ensures high precision during application without adding time to the critical production path.
Data Source
AI summary
A robot system includes at least one robot, a first sensor, at least one second sensor, and circuitry. The at least one robot is to work on a workpiece. The first sensor is to detect a three-dimensional shape of the workpiece. The at least one second sensor is to detect a three-dimensional position of the workpiece. The circuitry is configured to control the at least one robot based on teaching data. The circuitry is configured to correct the teaching data according to the three-dimensional shape detected by the first sensor. The circuitry is configured to correct the teaching data according to the three-dimensional position detected by the at least one second sensor.