Daniel Eriksson

Host institutions and supervisors

Karlsruher Institut für Technologie, Prof. Geimer

 LIEBHERR- Werk Bischofshofen GmbH, Dr. Bös

Research project

Automatic Bucket Filling for Wheel Loaders Using Machine Learning Techniques – ESR 6

Scientific backgroud

Master of Science in System, Control and Robotics from the Royal Institute of Technology (KTH), Sweden (2019) with the title of thesis: Underwater Change Detection by Fusing Multiple Sonar Images. Bachelor of Electrical Engineering from KTH, Sweden (2017).


  • Eriksson, D., & Ghabcheloo, R. (2023). Comparison of machine learning methods for automatic bucket filling: An imitation learning approach. Automation in Construction150, 104843. https://doi.org/10.1016/j.autcon.2023.104843

Conference proceedings

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Project Pitch