Oliver Kroemer
Oliver Kroemer
Carnegie Mellon University - The Robotics Institute
Verified email at andrew.cmu.edu - Homepage
Cited by
Cited by
Learning to select and generalize striking movements in robot table tennis
K Mülling, J Kober, O Kroemer, J Peters
The International Journal of Robotics Research 32 (3), 263-279, 2013
Hierarchical relative entropy policy search
C Daniel, G Neumann, J Peters
Artificial Intelligence and Statistics, 273-281, 2012
Learning grasp affordance densities
R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater
Paladyn. Journal of Behavioral Robotics 2 (1), 1-17, 2011
Interaction primitives for human-robot cooperation tasks
HB Amor, G Neumann, S Kamthe, O Kroemer, J Peters
2014 IEEE international conference on robotics and automation (ICRA), 2831-2837, 2014
Movement templates for learning of hitting and batting
J Kober, K Muelling, O Kroemer, CH Lampert, B Schoelkopf, J Peters
IEEE International Conference on Robotics and Automation (ICRA), 69-82, 2010
Combining active learning and reactive control for robot grasping
OB Kroemer, R Detry, J Piater, J Peters
Robotics and Autonomous Systems (RAS) 58 (9), 1105-1116, 2010
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 (3), 593-612, 2017
Generalization of human grasping for multi-fingered robot hands
HB Amor, O Kroemer, U Hillenbrand, G Neumann, J Peters
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
Learning dynamic tactile sensing with robust vision-based training
O Kroemer, CH Lampert, J Peters
IEEE transactions on robotics 27 (3), 545-557, 2011
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks
O Kroemer, C Daniel, G Neumann, H van Hoof, J Peters
International Conference on Robotics and Automation (ICRA), 2015
Active Reward Learning.
C Daniel, M Viering, J Metz, O Kroemer, J Peters
Robotics: Science and systems 98, 2014
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
O Kroemer, S Niekum, G Konidaris
J. Mach. Learn. Res. 22, 30:1-30:82, 2021
Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning
CH Lampert, O Krömer
European Conference on Computer Vision, 566-579, 2010
A kernel-based approach to direct action perception
O Kroemer, E Ugur, E Oztop, J Peters
2012 IEEE international Conference on Robotics and Automation, 2605-2610, 2012
Probabilistic segmentation and targeted exploration of objects in cluttered environments
H Van Hoof, O Kroemer, J Peters
IEEE Transactions on Robotics 30 (5), 1198-1209, 2014
Learning robot tactile sensing for object manipulation
Y Chebotar, O Kroemer, J Peters
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
Learning visual representations for perception-action systems
J Piater, S Jodogne, R Detry, D Kraft, N Krüger, O Kroemer, J Peters
The International Journal of Robotics Research 30 (3), 294, 2011
Learning to Predict Phases of Manipulation Tasks as Hidden States
O Kroemer, H van Hoof, G Neumann, J Peters
Learning sequential motor tasks
C Daniel, G Neumann, O Kroemer, J Peters
2013 IEEE International Conference on Robotics and Automation, 2626-2632, 2013
A review of tactile information: Perception and action through touch
Q Li, O Kroemer, Z Su, FF Veiga, M Kaboli, HJ Ritter
IEEE Transactions on Robotics 36 (6), 1619-1634, 2020
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