Abstract
Recently, a variety of 3D sensors have been developed for rapid freeform surface measurement. However, an automated dimensional inspection system is required by automotive industry to bring this state-of-the-art technology into applications. This paper introduces a robot-integrated area sensing system that is developed to meet this industrial requirement. The dimensional inspection system includes a sensor planner, an error map generator, and a sensor affixed to a robot. The sensor planner is adapted to automatically generate robot path based on the CAD model of a workpiece. The path data is indicative for moving the sensor in relation to the surface of the workpiece. Based on the measured point clouds, the sensor planner is able to further modify the path data for the area sensor to improve the measurement performance. The error map generator is adapted to calculate the deviation of 3D shapes between measurement point clouds and the CAD information.
Keywords: Automated dimensional measurement, robot sensor planning, quality control
Related Books
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Recent Advances in IoT and Blockchain Technology
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Machine Learning and Its Application: A Quick Guide for Beginners
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)
2