MORE Early Stage Researcher, Daniel Eriksson, has successfully defended his doctoral dissertation at Tampere University on Friday, 1 November 2024. His research focuses on using artificial intelligence (AI) to enhance the efficiency of wheel loaders in construction, addressing critical labour shortages in the industry.
In his dissertation, Automatic Bucket Filling: A Machine Learning Approach (available online), Daniel 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 operate with human-level precision. His work also explores methods for adapting AI to handle various material types, offering innovative solutions to boost productivity on construction sites.
We extend our congratulations to Daniel on this impressive achievement.
