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Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum2025 International Journal of Dynamics and Control article Computer Science Reinforcement Learning in Robotics Open access
Faras Brumand‐Poor, Paul Wagemann, Timm Geibel, Katharina Schmitz
4citations
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