Refereed Journal Publications
L. Shi, T. Leng, J. Wu, H. Ge, G, Zhou, K-RSR: A Koopman-Based Real-Sim-Real Framework for Efficient Policy Transfer Under Environmental Uncertainty. On submission to International Journal of Robotics Research (IJRR), 2025
L. Shi, Y Xu, S Wang, J Huang, W Zhao, Y Jia, Z Yan, W Gu, G Zhou, An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable Simulation. On submission to IEEE Robotics and Automation Letters (RAL), 2025
L. Shi, M. Haseli, G. Mamakoukas, D. Bruder, I. Abraham, T. Murphey, J. Cortes, and K. Karydis, Koopman operators in robot learning. IEEE Transactions on Robotics (TRO), Under Review, 2024
L. Shi and K. Karydis, ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-based Nonlinear Robotic Systems. IEEE Robotics and Automation Letters. (RAL+ICRA). 2022
L. Shi, Z. Liu and K. Karydis, Koopman Operators for Modeling and Control of Soft Robotics, in process, Current Robotics Report, 2022
Peer-reviewed Conference Proceedings
X Zhang, MK Bouafoura, L Shi, K Karydis, A Koopman operator-based NMPC framework for mobile robot navigation under uncertainty, European Control Conference (ECC), 2025.
H. Lou, Y. Liu, Y. Pan, Y. Geng, J. Chen, W. Ma, C. Li, L. Wang, H. Feng, L. Shi, Y. Shi, Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation, IEEE International Conference on Robotics and Automation (ICRA), 2025.
L. Shi, Z Wang, Y Jia, H Wang, H Zhao, X Li, J Zhou, J Ma, G Zhou, Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot, (Co-First Author) IEEE International Conference on Intelligent Robots and Systems (IROS), 2024
H. Ge, R. Wang, Z. Xu, H. Zhu, R. Deng, Y. Dong, Z. Pang, G.Zhou, J. Zhang, L. Shi, Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms, IEEE International Conference on Robotics and Biomimetics (Robio), 2024
L. Shi, C. Mucchiani, and K. Karydis ”Online Modeling and Control of Soft Multi-fingered Grippers via Koopman Operator Theory.” In IEEE International Conference on Automation Science and Engineering (CASE), 2022.
L. Shi and K. Karydis, Enhancement for Robustness of Koopman Operator-based Data-driven Mobile Robotic Systems. In IEEE Int. Conf. on Robotics and Automation (ICRA), 2021.
L. Shi, H. Teng, X. Kan, and K. Karydis, A Data-driven Hierarchical Control Structure for Systems with Uncertainty. In IEEE Conf. on Control Technology and Applications (CCTA), 2020, pp. 57-63.