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2020 – today
- 2024
[i6]Lu Shi, Masih Haseli, Giorgos Mamakoukas, Daniel Bruder
, Ian Abraham, Todd D. Murphey, Jorge Cortés, Konstantinos Karydis:
Koopman Operators in Robot Learning. CoRR abs/2408.04200 (2024)- 2023
- [j3]Giorgos Mamakoukas, Ian Abraham, Todd D. Murphey:
Learning Stable Models for Prediction and Control. IEEE Trans. Robotics 39(3): 2255-2275 (2023) - 2022
- [c8]Giorgos Mamakoukas, Stefano Di Cairano, Abraham P. Vinod:
Robust Model Predictive Control with Data-Driven Koopman Operators. ACC 2022: 3885-3892 - 2021
- [j2]Giorgos Mamakoukas, Maria L. Castaño, Xiaobo Tan, Todd D. Murphey:
Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems. IEEE Trans. Robotics 37(6): 2173-2192 (2021) - [c7]William Edwards, Gao Tang, Giorgos Mamakoukas, Todd D. Murphey, Kris Hauser:
Automatic Tuning for Data-driven Model Predictive Control. ICRA 2021: 7379-7385 - 2020
- [c6]Maria L. Castaño, Andrew Hess, Giorgos Mamakoukas, Tong Gao, Todd D. Murphey, Xiaobo Tan:
Control-oriented Modeling of Soft Robotic Swimmer with Koopman Operators. AIM 2020: 1679-1685 - [c5]Giorgos Mamakoukas, Orest Xherija, Todd D. Murphey:
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control. NeurIPS 2020 - [i5]Giorgos Mamakoukas, Ian Abraham, Todd D. Murphey:
Learning Data-Driven Stable Koopman Operators. CoRR abs/2005.04291 (2020) - [i4]Giorgos Mamakoukas, Orest Xherija, Todd D. Murphey:
Learning Memory-Efficient Stable Linear Dynamical Systems for Prediction and Control. CoRR abs/2006.03937 (2020) - [i3]Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, Todd D. Murphey:
Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems. CoRR abs/2010.05778 (2020)
2010 – 2019
- 2019
- [c4]Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, Todd D. Murphey:
Local Koopman Operators for Data-Driven Control of Robotic Systems. Robotics: Science and Systems 2019 - 2018
- [j1]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Feedback synthesis for underactuated systems using sequential second-order needle variations. Int. J. Robotics Res. 37(13-14) (2018) - [c3]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Superlinear Convergence Using Controls Based on Second-Order Needle Variations. CDC 2018: 4301-4308 - [i2]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Feedback Synthesis For Underactuated Systems Using Sequential Second-Order Needle Variations. CoRR abs/1804.09559 (2018) - 2017
- [c2]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions. Robotics: Science and Systems 2017 - [i1]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions. CoRR abs/1709.01947 (2017) - 2016
- [c1]Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey:
Sequential Action Control for models of underactuated underwater vehicles in a planar ideal fluid. ACC 2016: 4500-4506
Coauthor Index
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