Ge Li (Bruce)

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Citations	131	120
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Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of TechnologyVerified email at kit.edu
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
Onur CelikPhD Student, Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Hongyi ZhouKarlsruhe Institute of TechnologyVerified email at kit.edu
Fabian OttoMicrosoft ResearchVerified email at microsoft.com
Michael VolppKarlsruhe Institute of Technology, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Dongzhuoran ZhouBosch Center for Artificial Intelligence, University of osloVerified email at student.matnat.uio.no
Philipp BeckerKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Zvezdan LončarevićJožef Stefan Institute, Department of Automatics, Biocybernetics, and RoboticsVerified email at ijs.si
Andrej GamsDepartment for Automation, Biocybernetics and Robotics, Jozef Stefan Institute, Ljubljana, SloveniaVerified email at ijs.si

Ge Li (Bruce)

Karlsruhe Institute of Technology

Verified email at kit.edu - Homepage

Artificial Intelligence Machine Learning Robotics


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Prodmp: A unified perspective on dynamic and probabilistic movement primitives G Li, Z Jin, M Volpp, F Otto, R Lioutikov, G Neumann IEEE Robotics and Automation Letters 8 (4), 2325-2332, 2023	49	2023
Specializing versatile skill libraries using local mixture of experts O Celik, D Zhou, G Li, P Becker, G Neumann Conference on Robot Learning, 2021, 1423-1433, 2022	38	2022
Evaluation of CFD predictions using different turbulence models on a film cooled guide vane under experimental conditions Q Zhang, H Xu, J Wang, G Li, L Wang, X Wu, S Ma Turbo Expo: Power for Land, Sea, and Air 56710, V05AT10A010, 2015	14	2015
MaIL: Improving Imitation Learning with Selective State Space Models X Jia, Q Wang, A Donat, B Xing, G Li, H Zhou, O Celik, D Blessing, ... Conference on Robot Learning, 2024, 2024	12*	2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning G Li, H Zhou, D Roth, S Thilges, F Otto, R Lioutikov, G Neumann The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024	6	2024
Mp3: Movement primitive-based (re-) planning policy F Otto, H Zhou, O Celik, G Li, R Lioutikov, G Neumann arXiv preprint arXiv:2306.12729, 2023	6	2023
Predicting adiabatic film effectiveness of a turbine vane by two-equation turbulence models P Prapamonthon, H Xu, J Wang, G Li Turbo Expo: Power for Land, Sea, and Air 56727, V05BT12A019, 2015	4	2015
Variational Distillation of Diffusion Policies into Mixture of Experts H Zhou, D Blessing, G Li, O Celik, X Jia, G Neumann, R Lioutikov Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024	1	2024
An encoder-decoder architecture for smooth motion generation Z Lončarević, G Li, G Neumann, A Gams International Conference on Robotics in Alpe-Adria Danube Region, 358-366, 2023	1	2023
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning G Li, D Tian, H Zhou, X Jiang, R Lioutikov, G Neumann The Thirteenth International Conference on Learning Representations (ICLR) 2025, 2025		2025
BMP: Bridging the Gap between B-Spline and Movement Primitives W Liao, G Li, H Zhou, R Lioutikov, G Neumann 2nd CoRL Workshop on Learning Effective Abstractions for Planning, 2024		2024

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