Thesis Project: 30 Credis - Human Robot Collaborative Quality control station

Background
Scania is currently undergoing an exciting transformation from a traditional truck manufacturer to a provider of complete sustainable transport solutions.
The Smart Factory Lab at Scania is an experimental test environment that explores, assesses, and pilots new technologies before they are adopted in Scania’s production processes. We are looking for motivated and creative students to join our Smart Factory Lab for their master thesis. You will have the opportunity to work in a dynamic and collaborative environment, where you can test and validate new technologies, methods, and solutions in close collaboration with our internal and external stakeholders.

Assignment
Scania aims to use automation as a tool to improve safety, quality, productivity and costs. For many years Scania has used automated vision systems to ensure the best quality. To push the boundaries of flexible automation, we aim to inspect the quality of the assembled product from different angles using a robot arm to manipulate a vision system. 
The students will develop a Human-Robot Collaboration (HRC) workstation for quality control in an industry-like environment in Scania's Smart Factory Lab. HRC refers to the concept of humans and robots working in close proximity, sometimes sharing the same workspace to benefit from human and robotic characteristics. This thesis will include robot programming and risk assessment, with safety-focus to explore how fenceless robotics can be realised in our industrial environment today.
We are setting up a development assembly line to test and demonstrate new technologies, separate from the real production. One key-element of the line will be the automated quality control station using computer vision. The aim is to automate the manipulation of a vision system with a robot arm to visually inspect the assembled product from different angles.
The developed HRC workstation will serve as a demonstrator in the Smart Factory Lab, showcasing how a truly collaborative workstation can operate in a modern industrial environment. 

Education and time plan
Education: Master’s program in Mechanical Engineering, Automation Engineering, Mechatronics or similar.
Number of students: 1-2
Start date: January 2025
Estimated time needed: 20 weeks

Contact persons and supervisors
David Svensson, Manager, david.svensson@scania.com, tel. +46700863673

Application:
Your application must include a CV, personal letter and transcript of grades.

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.