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Do robots take jobs?

Get the Facts
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Home › Projects › Human-Robot Collaboration in Quality Inspection

Human-Robot Collaboration in Quality Inspection

Background

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.

Objective

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.

Technical Approach

The expected project outputs are:

  • Algorithms that improve human-robot collaboration
  • Robotic 3D scanning software tools
  • Workforce training materials
  • Masked data

Participants

Principal Investigator: Stellantis

Project Team: ARIS Technology, Yaskawa

Project Type

Technology

Advisor Robot

Agile and Reconfigurable Robotic Designs

Artificial Intelligence

Flexible Sensors and Integration

Human-Robot Trust and Safety

Inspection

User-Friendly Interface

Year Completed

2019

Project Team

ARIS Technology

Yaskawa

Principle Investigator

Stellantis 

ARM Institute

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