Constantin Cronrath

Doctoral Student at Automation

Constantin Cronrath is a PhD student in the Automation research group, focusing his research on Reinforcement Learning in industrial contexts. Constantin is involved in the project Smart Assembly 4.0. The project envisions to demonstrate the autonomous, self-optimizing, robotized assembly factory, which maximizes quality and throughput, while keeping flexibility and reducing cost, by a sensing, thinking and acting strategy. This project is running in collaboration with the department of Industrial and Materials Science and the Fraunhofer-Chalmers Centre.

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Showing 4 publications


Formal Properties of the Digital Twin-Implications for Learning, optimization, and Control

Constantin Cronrath, Ludvig Svedlund, Bengt Lennartson
IEEE International Conference on Automation Science and Engineering. Vol. 2020-August, p. 679-684
Paper in proceeding

Enhancing digital twins through reinforcement learning

Constantin Cronrath, Abolfazl Rezaei Aderiani, Bengt Lennartson
IEEE International Conference on Automation Science and Engineering. Vol. 2019-August, p. 293-298
Paper in proceeding

Reinforcement learning in real-time geometry assurance

Emilio Jorge, Lucas Brynte, Constantin Cronrath et al
Procedia CIRP. Vol. 72, p. 1073-1078
Paper in proceeding

Energy reduction in paint shops through energy-sensitive on-off control

Constantin Christian Justin Cronrath, Bengt Lennartson, M. Lemessi
Proc. 12th IEEE Conference on Automation Science and Engineering (CASE 2016), Fort Worth, Texas, August, p. 1282-1288
Paper in proceeding

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