Yannick Exner
Papers
1
Total Citations
3
H-Index
1
About
Yannick Exner is a researcher at the forefront of cognitive manufacturing and intelligent automation. His work focuses on integrating cognitive abilities into industrial robots, enabling them to learn, reason, and adapt dynamically to their environments. Exner’s key contribution lies in developing a generic model for planning and control in cognitive factories, which incorporates learning effects and knowledge transfer across system entities. This framework allows robots to move beyond static, rule-based operations, instead using environmental feedback to refine their actions and improve efficiency over time. His most-cited paper, “Towards planning and control in cognitive factories” (2021), has garnered 3 citations and lays the groundwork for more adaptive, self-improving production systems. By bridging robotics, artificial intelligence, and manufacturing, Exner is helping shape the next generation of smart factories where machines not only perform tasks but also learn from them. His work holds significant promise for reducing downtime, increasing flexibility, and enabling more autonomous decision-making in industrial settings.
Research Focus
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Top Papers
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