3 papers
cs.LG2026
Koopman Identification of Nonlinear Systems via Reservoir Liftings
Weibin Gu, Chen Yang, Lu Shi
Learning tractable linear representations of nonlinear dynamical systems via Koopman operator theory is often hindered by dictionary selection, temporal memory encoding, and numeri…
cs.RO2025
Koopman Operators in Robot Learning
Lu Shi, Masih Haseli, Giorgos Mamakoukas +5
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as an alternative modeling and learning-based control method across various robotics sub-domai…
cs.RO2025
A Koopman Operator-based NMPC Framework for Mobile Robot Navigation under Uncertainty
Xiaobin Zhang, Mohamed Karim Bouafoura, Lu Shi +1
Mobile robot navigation can be challenged by system uncertainty. For example, ground friction may vary abruptly causing slipping, and noisy sensor data can lead to inaccurate feedb…