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Rudolf Lioutikov
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Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks
GJ Maeda, G Neumann, M Ewerton, R Lioutikov, O Kroemer, J Peters
Autonomous Robots 41, 593-612, 2017
1662017
Learning multiple collaborative tasks with a mixture of interaction primitives
M Ewerton, G Neumann, R Lioutikov, HB Amor, J Peters, G Maeda
2015 IEEE International Conference on Robotics and Automation (ICRA), 1535-1542, 2015
1202015
Learning interaction for collaborative tasks with probabilistic movement primitives
G Maeda, M Ewerton, R Lioutikov, HB Amor, J Peters, G Neumann
2014 IEEE-RAS International Conference on Humanoid Robots, 527-534, 2014
1062014
Phase estimation for fast action recognition and trajectory generation in human–robot collaboration
G Maeda, M Ewerton, G Neumann, R Lioutikov, J Peters
The International Journal of Robotics Research 36 (13-14), 1579-1594, 2017
812017
Model-based relative entropy stochastic search
A Abdolmaleki, R Lioutikov, JR Peters, N Lau, L Pualo Reis, G Neumann
Advances in Neural Information Processing Systems 28, 2015
762015
Sample-based informationl-theoretic stochastic optimal control
R Lioutikov, A Paraschos, J Peters, G Neumann
2014 IEEE International Conference on Robotics and Automation (ICRA), 3896-3902, 2014
712014
Learning movement primitive libraries through probabilistic segmentation
R Lioutikov, G Neumann, G Maeda, J Peters
The International Journal of Robotics Research 36 (8), 879-894, 2017
602017
Guiding trajectory optimization by demonstrated distributions
T Osa, AMG Esfahani, R Stolkin, R Lioutikov, J Peters, G Neumann
IEEE Robotics and Automation Letters 2 (2), 819-826, 2017
472017
Demonstration based trajectory optimization for generalizable robot motions
D Koert, G Maeda, R Lioutikov, G Neumann, J Peters
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
392016
Probabilistic segmentation applied to an assembly task
R Lioutikov, G Neumann, G Maeda, J Peters
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
392015
Screwnet: Category-independent articulation model estimation from depth images using screw theory
A Jain, R Lioutikov, C Chuck, S Niekum
2021 IEEE International Conference on Robotics and Automation (ICRA), 13670 …, 2021
362021
Learning manipulation by sequencing motor primitives with a two-armed robot
R Lioutikov, O Kroemer, G Maeda, J Peters
Intelligent Autonomous Systems 13: Proceedings of the 13th International …, 2016
312016
Probabilistic prioritization of movement primitives
A Paraschos, R Lioutikov, J Peters, G Neumann
IEEE Robotics and Automation Letters 2 (4), 2294-2301, 2017
262017
Self-supervised online reward shaping in sparse-reward environments
F Memarian, W Goo, R Lioutikov, S Niekum, U Topcu
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
152021
Anticipative interaction primitives for human-robot collaboration
G Maeda, A Maloo, M Ewerton, R Lioutikov, J Peters
2016 AAAI Fall Symposium Series, 2016
152016
A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation
G Maeda, G Neumann, M Ewerton, R Lioutikov, J Peters
Robotics Research: Volume 2, 253-268, 2018
122018
Distributional depth-based estimation of object articulation models
A Jain, S Giguere, R Lioutikov, S Niekum
Conference on Robot Learning, 1611-1621, 2022
102022
Learning attribute grammars for movement primitive sequencing
R Lioutikov, G Maeda, F Veiga, K Kersting, J Peters
The International Journal of Robotics Research 39 (1), 21-38, 2020
102020
Low-cost sensor glove with force feedback for learning from demonstrations using probabilistic trajectory representations
E Rueckert, R Lioutikov, R Calandra, M Schmidt, P Beckerle, J Peters
arXiv preprint arXiv:1510.03253, 2015
92015
Inducing probabilistic context-free grammars for the sequencing of movement primitives
R Lioutikov, G Maeda, F Veiga, K Kersting, J Peters
2018 IEEE International Conference on Robotics and Automation (ICRA), 5651-5658, 2018
72018
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