73 citations · 159 across the 26 of their papers we have counts for
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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…
eess.SY2024★ 16 cited
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator
Takuzumi Nishio, Moju Zhao, Kei Okada +1
Manipulation performance improvement is crucial for aerial robots. For aerial manipulators, the baselink position and attitude errors directly affect the precision at the end effec…