MORE Early Stage Researcher, Daniel Eriksson will defend his doctoral dissertation on Friday, 1 November 2024, at Tampere University. His research focuses on using artificial intelligence (AI) to improve the efficiency of wheel loaders in construction, addressing labour shortages in the industry.
In his dissertation, Automatic Bucket Filling: A Machine Learning Approach, Eriksson investigates how AI can automate the challenging task of loading materials. He developed AI models based on real-world data from expert operators, enabling wheel loaders to perform with human-level precision. His work also explores methods for adapting AI to handle different types of materials, offering solutions for increasing productivity on construction sites.
The public defence will take place at 12:00 in the Tietotalo building, Hervanta campus, Tampere University (Auditorium TB109). The public defence can be followed via remote connection.