RIPTIDE: Robot Inspecting Parts to Increase Development Efficiency
Additive manufacturing introduces challenges in quality assurance due to the high variability and volume of produced components. Traditional manual inspection methods, such as measurements taken with calipers, are time consuming, labor intensive, and prone to human error. This paper presents RIPTIDE, a quality confirmation system designed to enhance inspection accuracy and efficiency. RIPTIDE integrates a robotic pick and place mechanism with a scanning procedure to generate high fidelity three dimensional models of manufactured parts. By eliminating human intervention, this system improves consistency, reduces inspection time, and streamlines the validation process for mass volume. The proposed approach demonstrates significant potential in optimizing additive manufacturing workflows by ensuring reliable and scalable quality control.
Authors
- Angela Estela Duron
- Bradley Alexander Cougar Stiles
- David Anthony Torck
Institutions
- Texas A&M University (US)
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1109/ur65550.2025.11078063
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00