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Thesis in Transfer Learning for Data-Based Control of Hydraulic Cylinders 04.06.2025 Bosch-Gruppe Renningen
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Thesis in Transfer Learning for Data-Based Control of Hydraulic Cylinders
Renningen
Aktualität: 04.06.2025

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04.06.2025, Bosch-Gruppe
Renningen
Thesis in Transfer Learning for Data-Based Control of Hydraulic Cylinders
Aufgaben:
At Bosch Corporate Research we focus on developing learning control systems for hydraulic cylinders to enhance advanced excavator assistance functions. During your thesis you will explore methods for transferring knowledge, data and model parameters between similar learning tasks to increase sample efficiency for new tasks. You will investigate measures to evaluate the performance of fine-tuned controllers to ensure they meet desired operational standards. Furthermore, you will develop strategies to reduce the computational load of model fine-tuning to enable real-time model adaptation during regular operation. Finally, you will create methods for online validation of model adaptations to ensure reliability and performance in dynamic environments.
Qualifikationen:
Education: studies in the field of Electrical Engineering, Control Engineering, Computer Science, Mathematics or comparable Experience and Knowledge: in Data Science, Machine Learning, Non-Linear System identification Personality and Working Practice: you excel at sharing your thoughts openly, fostering clear communication with others, and working independently Languages: very good in English or German

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