Master Thesis - Imitation Learning for Industrial Robotics

Technology, Data & Digital · Data, AI & Analytics · Robotics & Automation · Machine Learning · Software Engineering

In short

Master Thesis opportunity focusing on Imitation Learning for Industrial Robots at Scania's Smart Factory Lab in Södertälje. Students will investigate AI methods to automate complex tasks and evaluate robot performance using an existing test setup. This thesis is ideal for students with backgrounds in robotics, engineering, or computer science eager to build physical prototypes.

Responsibilities

Investigate how training and data-collection factors influence the performance, robustness, and generalisation of imitation-learned robot policies.
Select and conduct experiments on one or more relevant robot tasks using the existing robotic test setup.
Collect and prepare demonstration data.
Investigate the required amount and variation of demonstrations.
Evaluate policy performance on different physical setups and environmental conditions.
Document results and develop recommendations for future applications.

Requirements

Students in Robotics or Engineering with some background in AI training.
Computer Science students eager to build physical prototypes.
Experience with Python, ROS, robot programming, CAD modelling, computer vision, or machine-learning frameworks is beneficial but not required.

Benefits

30 credits Master Thesis
Opportunity to work in a dynamic and collaborative environment
Test and validate new technologies, methods, and solutions
Close collaboration with internal and external stakeholders

Skills

PythonROSrobot programmingCAD modellingcomputer visionmachine learning

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About Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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