This technology project was funded through an ARM Institute Technology Project Call (ARM-TEC-22-01), which focused on the following special topic areas:
- Adaptive Real-Time Path Planning and Control
- Human Action & Intention Prediction
- Robot Learning
- Feature and Pose Recognition and Estimation
- Virtual Commissioning of Advanced Robotic Systems
- Artificial Intelligence (AI) and Data for Advanced Manufacturing Robotic Systems
- Multi-Agent Motion Planning and Tasking for Discreet and Continuous Manufacturing Processes
- Virtual Masking for Advanced Coating Applications.
Project Overview
The installation or modification of robotic image acquisition systems for production line inspections can be tedious manual processes that require full-time human expertise from different domains, such as lighting, cameras, robotics, automation, AI, and the production process. This project seeks to leverage digital twins to reduce the amount of effort, time and training data required to automate visual inspections, enabling wider implementation of inspection systems for industrial applications. The outputs of this project seek to reduce commissioning effort for inspection systems, reduce real cell data required to train AI inspection models, and alleviate production bottlenecks due to labor shortages.