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eess.SY2026
Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots
Johannes Kübel, Henrik Krauss, Jinjie Li +1
Data-driven Model Predictive Control (MPC) has lately been a core research subject in the field of control theory. The combination of an optimal control framework with deep learnin…
cs.RO2026
Accurate Open-Loop Control of a Soft Continuum Robot Using Visually Learned Latent Dynamics
Henrik Krauss, Johann Licher, Naoya Takeishi +2
This work addresses open-loop control of a soft continuum robot (SCR) from video-learned latent dynamics. Visual Oscillator Networks (VONs) from previous work are used, which provi…