Anton Wiberg
Papers
1
Total Citations
8
H-Index
1
About
Anton Wiberg is a researcher at the forefront of intelligent manufacturing, specializing in the automation of unstructured production environments through machine learning and reinforcement learning. His work directly addresses one of the most pressing challenges in modern industry: enabling adaptive, self-calibrating systems that can operate with high accuracy in complex, unpredictable settings. His most cited paper, "Automation of unstructured production environment by applying reinforcement learning" (2023), has garnered 8 citations, establishing a foundation for applying ML to improve product and production development processes. This contribution is particularly significant for industries where traditional automation falls short, offering a pathway to more flexible and resilient manufacturing. Wiberg’s research demonstrates how reinforcement learning can calibrate models with considerable adaptability, a capability that holds immense promise for real-world applications. By bridging the gap between theoretical ML and practical industrial deployment, Anton Wiberg is helping to shape the next generation of smart factories, where machines learn and adapt in real time to optimize production.
Research Focus
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Top Papers
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