Abstract This paper presents an approach that utilizes artificial intelligence techniques to identify autonomous machine behavior patterns. The context for investigation involves a fleet of prototype autonomous haulers as part of a Product Service System solution under development in the construction and mining industry. The approach involves using deep learning-based object detection and computer vision […]
Read MoreCongratulations Carl Toller Melén, Licentiate in Mechanical Engineering!
- 1st September 2023
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Carl Toller Melén presented his licentiate thesis entitled “Exploring non-functional requirements in digital Product-Service System design” in front of an +50 people hybrid audience of physically present people and online listeners. Carl made a popular presentation of the background of his research and the findings up until this point, where the servitization of indystry is […]
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