フォロー
Matthias Kerzel
Matthias Kerzel
Research Assistant, University of Hamburg
確認したメール アドレス: informatik.uni-hamburg.de
タイトル
引用先
引用先
NICO—Neuro-inspired companion: a developmental humanoid robot platform for multimodal interaction
M Kerzel, E Strahl, S Magg, N Navarro-Guerrero, S Heinrich, S Wermter
2017 26th IEEE International Symposium on Robot and Human Interactive …, 2017
802017
Intelligent problem-solving as integrated hierarchical reinforcement learning
M Eppe, C Gumbsch, M Kerzel, PDH Nguyen, MV Butz, S Wermter
Nature Machine Intelligence 4 (1), 11-20, 2022
662022
Explainable Goal-Driven Agents and Robots--A Comprehensive Review and New Framework
F Sado, CK Loo, M Kerzel, S Wermter
arXiv preprint arXiv:2004.09705, 2020
48*2020
Object detection and pose estimation based on convolutional neural networks trained with synthetic data
J Josifovski, M Kerzel, C Pregizer, L Posniak, S Wermter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
422018
Haptic material classification with a multi-channel neural network
M Kerzel, M Ali, HG Ng, S Wermter
2017 International Joint Conference on Neural Networks (IJCNN), 439-446, 2017
412017
Verbal assistance in tactile-map explorations: A case for visual representations and reasoning
C Habel, M Kerzel, K Lohmann
Proceedings of the 7th AAAI Conference on Visual Representations and …, 2010
402010
Teaching emotion expressions to a human companion robot using deep neural architectures
N Churamani, M Kerzel, E Strahl, P Barros, S Wermter
2017 International Joint Conference on Neural Networks (IJCNN), 627-634, 2017
362017
Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning
MB Hafez, C Weber, M Kerzel, S Wermter
Paladyn, Journal of Behavioral Robotics 10 (1), 14-29, 2019
252019
Neural end-to-end self-learning of visuomotor skills by environment interaction
M Kerzel, S Wermter
International Conference on Artificial Neural Networks, 27-34, 2017
252017
What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective
CW Di Fu, G Yang, M Kerzel, W Nan, P Barros, H Wu, X Liu, S Wermter
Frontiers in Integrative Neuroscience 14, 2020
242020
Crossmodal language grounding in an embodied neurocognitive model
S Heinrich, Y Yao, T Hinz, Z Liu, T Hummel, M Kerzel, C Weber, ...
arXiv preprint arXiv:2006.13546, 2020
212020
Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans.
M Kerzel, T Pekarek-Rosin, E Strahl, S Heinrich, S Wermter
Frontiers Neurorobotics 14, 28, 2020
212020
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
H Beik-Mohammadi, M Kerzel, B Pleintinger, T Hulin, P Reisich, ...
2020 29th IEEE International Conference on Robot and Human Interactive …, 0
19
Deep neural object analysis by interactive auditory exploration with a humanoid robot
M Eppe, M Kerzel, E Strahl, S Wermter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
182018
Accelerating deep continuous reinforcement learning through task simplification
M Kerzel, HB Mohammadi, MA Zamani, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
182018
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
MB Hafez, C Weber, M Kerzel, S Wermter
arXiv preprint arXiv:2004.08830, 2020
132020
Embodied multimodal interaction in language learning: the emil data collection
S Heinrich, M Kerzel, E Strahl, S Wermter
Proceedings of the ICDL-EpiRob Workshop on Active Vision, Attention, and …, 2018
132018
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking
M Eppe, M Kerzel, S Griffiths, HG Ng, S Wermter
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017
132017
Verbally assisted virtual-environment tactile maps: a prototype system
K Lohmann, M Kerzel, C Habel
Proceedings of the Workshop on Spatial Knowledge Acquisition with Limited …, 2012
132012
Solving visual object ambiguities when pointing: an unsupervised learning approach
D Jirak, D Biertimpel, M Kerzel, S Wermter
Neural Computing and Applications, 1-23, 2020
122020
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20