Background of the Human-Robot Collaboration in Quality Inspection
This project seeks to improve the processes surrounding part quality inspection through the development of an easily programmable robotics 3D inspection system. Success will be measured through improvements in resolution, cycle time, programming time, and enhanced insights. By project end, the team intends to demonstrate an automatically calibratable system that will work with existing CMMs, creating efficiency and reliability through human-robot collaboration.
Objective of the of Human-Robot Collaboration Project
Automate the qualification process by developing a robotic 3D inspection system that can be easily programmed (off-line or by lead-thru teaching) using industrial PFL cobots and an artificial intelligence (AI) engine to collect high-resolution 3D scan data to resolve quality backlog issues and process drift early on. This human-robot collaboration should enable much earlier resolution of quality backlog issues.
Technical Approach to the Human-Robot Collaboration Project
The expected project outputs are:
- Algorithms that improve human-robot collaboration
- Robotic 3D scanning software tools
- Workforce training materials
- Masked data
Participants in the Human-Robot Collaboration Project
Principal Investigator: Stellantis
Project Team: ARIS Technology, Yaskawa