Sequential Action Control for models of underactuated underwater vehicles in a planar ideal fluid. - Giorgos Mamakoukas; Malcolm A. MacIver; Todd D. Murphey (ACC, 2016)

Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions. - Giorgos Mamakoukas; Malcolm A. MacIver; Todd D. Murphey (Robotics: Science and Systems, 2017)

Superlinear Convergence Using Controls Based on Second-Order Needle Variations. - Giorgos Mamakoukas; Malcolm A. MacIver; Todd D. Murphey (CDC, 2018)

Feedback synthesis for underactuated systems using sequential second-order needle variations. - Giorgos Mamakoukas; Malcolm A. MacIver; Todd D. Murphey (Int. J. Robotics Res., 2018)

Local Koopman Operators for Data-Driven Control of Robotic Systems. - Giorgos Mamakoukas; Maria L. Castano; Xiaobo Tan; Todd D. Murphey (Robotics: Science and Systems, 2019)

Control-oriented Modeling of Soft Robotic Swimmer with Koopman Operators. - Maria L. Castaño; Andrew Hess; Giorgos Mamakoukas; Tong Gao; Todd D. Murphey; Xiaobo Tan (AIM, 2020)

Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control. - Giorgos Mamakoukas; Orest Xherija; Todd D. Murphey (NeurIPS, 2020)

Learning Data-Driven Stable Koopman Operators. - Giorgos Mamakoukas; Ian Abraham; Todd D. Murphey (CoRR, 2020)

Learning Memory-Efficient Stable Linear Dynamical Systems for Prediction and Control. - Giorgos Mamakoukas; Orest Xherija; Todd D. Murphey (CoRR, 2020)

Automatic Tuning for Data-driven Model Predictive Control. - William Edwards; Gao Tang; Giorgos Mamakoukas; Todd D. Murphey; Kris Hauser (ICRA, 2021)

Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems. - Giorgos Mamakoukas; Maria L. Castaño; Xiaobo Tan; Todd D. Murphey (IEEE Trans. Robotics, 2021)

Robust Model Predictive Control with Data-Driven Koopman Operators. - Giorgos Mamakoukas; Stefano Di Cairano; Abraham P. Vinod (ACC, 2022)

Learning Stable Models for Prediction and Control. - Giorgos Mamakoukas; Ian Abraham; Todd D. Murphey (IEEE Trans. Robotics, 2023)

Koopman Operators in Robot Learning. - Lu Shi; Masih Haseli; Giorgos Mamakoukas; Daniel Bruder; Ian Abraham; Todd D. Murphey; Jorge Cortés 001; Konstantinos Karydis (CoRR, 2024)