Project Pitch by Daniel Eriksson

Daniel’s research focuses on Automatic Bucket Filling for Wheel Loaders Using Machine Learning Techniques. Currently, he is at Karlsruhe Institute of Technology in Germany and will switch to Liebherr in Austria to benefit both from our academic and industry partners. He is one of eight Early Stage Researchers in MORE that are working on individual research projects all with the main aim to address the need for dramatic improvements in HDM machinery. Watch his project pitch to find out MORE.