Milan Zorman

University of Maribor, Jožef Stefan Institute

Papers

Total Citations

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About

Milan Zorman is a researcher whose work sits at the exciting intersection of artificial intelligence, collaborative robotics, and advanced manufacturing. His key research areas include the transfer of AI practices between collaborative robotics and autonomous driving, as well as the application of robotics in laser material processing. Zorman’s major contributions involve bridging the gap between human-robot collaboration and autonomous systems, a challenge he addresses in his most-cited work, “Transferring artificial intelligence practices between collaborative robotics and autonomous driving” (2022, 12 citations). He has also made significant strides in laser hardening, a critical process for improving material durability. In his 2013 paper “Robot laser hardening and the problem of overlapping laser beam” (11 citations), he tackles practical challenges in industrial robot applications. Notably, Zorman employs innovative analytical methods, such as using fractal geometry to describe porosity in laser-hardened specimens—a creative solution to a complex mechanical property problem. His work demonstrates a unique ability to combine theoretical AI concepts with hands-on manufacturing challenges, making him a valuable contributor to the evolving field of intelligent robotics.