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Erik Berger
Erik Berger
TU BA Freiberg
Verified email at informatik.tu-freiberg.de
Title
Cited by
Cited by
Year
Estimation of perturbations in robotic behavior using dynamic mode decomposition
E Berger, M Sastuba, D Vogt, B Jung, H Ben Amor
Advanced Robotics 29 (5), 331-343, 2015
1152015
Kinesthetic bootstrapping: Teaching motor skills to humanoid robots through physical interaction
H Ben Amor, E Berger, D Vogt, B Jung
KI 2009: Advances in Artificial Intelligence: 32nd Annual German Conference …, 2009
512009
Learning responsive robot behavior by imitation
HB Amor, D Vogt, M Ewerton, E Berger, B Jung, J Peters
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
502013
Latent space policy search for robotics
KS Luck, G Neumann, E Berger, J Peters, HB Amor
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
332014
Inferring guidance information in cooperative human-robot tasks
E Berger, D Vogt, N Haji-Ghassemi, B Jung, HB Amor
2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013
332013
Dynamic mode decomposition for perturbation estimation in human robot interaction
E Berger, M Sastuba, D Vogt, B Jung, HB Amor
The 23rd IEEE International Symposium on Robot and Human Interactive …, 2014
272014
Towards a simulator for imitation learning with kinesthetic bootstrapping
E Berger, HB Amor, D Vogt, B Jung
Workshop Proceedings of Intl. Conf. on Simulation, Modeling and Programming …, 2008
202008
Sparse latent space policy search
K Luck, J Pajarinen, E Berger, V Kyrki, HB Amor
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
172016
Experience-based torque estimation for an industrial robot
E Berger, S Grehl, D Vogt, B Jung, HB Amor
2016 IEEE International Conference on Robotics and Automation (ICRA), 144-149, 2016
162016
Learning two-person interaction models for responsive synthetic humanoids
D Vogt, H Ben Amor, E Berger, B Jung
Journal of Virtual Reality and Broadcastings 11 (1), 2014
162014
A data-driven method for real-time character animation in human-agent interaction
D Vogt, S Grehl, E Berger, H Ben Amor, B Jung
Intelligent Virtual Agents: 14th International Conference, IVA 2014, Boston …, 2014
142014
Estimating perturbations from experience using neural networks and information transfer
E Berger, D Vogt, S Grehl, B Jung, HB Amor
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
112016
Transfer entropy for feature extraction in physical human-robot interaction: Detecting perturbations from low-cost sensors
E Berger, D Müller, D Vogt, B Jung, HB Amor
2014 IEEE-RAS International Conference on Humanoid Robots, 829-834, 2014
92014
Towards Responsive Humanoids: Learning Interaction Models for Humanoid Robots
H Amor, E Berger, D Vogt, B Jung
International Conference on Machine Learning, 1-4, 2011
62011
Feature-based deep learning of proprioceptive models for robotic force estimation
E Berger, A Uhlig
2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids …, 2021
22021
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
E Berger
Dissertation, Freiberg, TU Bergakademie Freiberg, 2018, 2018
22018
Deep learning of proprioceptive models for robotic force estimation
E Berger, DE Passos, S Grehl, HB Amor, B Jung
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
12019
Resilient Environmental Monitoring Utilizing a Machine Learning Approach
D Häberlein, L Kafurke, S Höfer, B Franczyk, B Jung, E Berger
Artificial Intelligence and Soft Computing: 18th International Conference …, 2019
12019
Cooperative human-robot manipulation tasks
E Berger, D Vogt, C Pönisch, HB Amor, B Jung
Beyond Robot Grasping-Modern Approaches for Learning Dynamic Manipulation …, 2012
12012
Behavior-specific proprioception models for robotic force estimation
E Berger
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