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Christian Mandery
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2010 – 2019
- 2018
- [j4]Matthias Plappert
, Christian Mandery
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks. Robotics Auton. Syst. 109: 13-26 (2018) - [c11]Peter Kaiser, Christian Mandery, Andreas Boltres, Tamim Asfour
Affordance-Based Multi-Contact Whole-Body Pose Sequence Planning for Humanoid Robots in Unknown Environments. ICRA 2018: 3114-3121 - [c10]Jonas Beil, Isabel Ehrenberger, Clara Scherer, Christian Mandery, Tamim Asfour
Human Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons. IROS 2018: 5431-5436 - [i5]Christian R. G. Dreher, Nicklas Kulp, Christian Mandery, Mirko Wächter, Tamim Asfour:
A Framework for Evaluating Motion Segmentation Algorithms. CoRR abs/1810.00357 (2018) - 2017
- [b1]Christian Mandery:
Organisation, Repräsentation und Analyse menschlicher Ganzkörperbewegung für die datengetriebene Bewegungsgenerierung bei humanoiden Robotern. Karlsruhe Institute of Technology, Germany, 2017, ISBN 978-3-7315-0729-1, pp. 1-328 - [j3]Christian Mandery
A whole-body support pose taxonomy for multi-contact humanoid robot motions. Sci. Robotics 2(13) (2017) - [c9]Christian R. G. Dreher, Nicklas Kulp, Christian Mandery, Mirko Wächter, Tamim Asfour:
A framework for evaluating motion segmentation algorithms. Humanoids 2017: 83-90 - [i4]Matthias Plappert, Christian Mandery, Tamim Asfour:
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks. CoRR abs/1705.06400 (2017) - 2016
- [j2]Matthias Plappert, Christian Mandery, Tamim Asfour
The KIT Motion-Language Dataset. Big Data 4(4): 236-252 (2016) - [j1]Christian Mandery, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, Tamim Asfour
Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion. IEEE Trans. Robotics 32(4): 796-809 (2016) - [c8]Christian Mandery, Matthias Plappert, Júlia Borràs Sol, Tamim Asfour:
Dimensionality reduction for whole-body human motion recognition. FUSION 2016: 355-362 - [c7]Gabriele Trovato, Martin Do, Ömer Terlemez, Christian Mandery, Hiroyuki Ishii, Nadia Bianchi-Berthouze
Is hugging a robot weird? Investigating the influence of robot appearance on users' perception of hugging. Humanoids 2016: 318-323 - [c6]Christian Mandery, Júlia Borràs Sol
Using language models to generate whole-body multi-contact motions. IROS 2016: 5411-5418 - [c5]Jannik Steinbring, Christian Mandery, Florian Pfaff, Florian Faion, Tamim Asfour, Uwe D. Hanebeck:
Real-time whole-body human motion tracking based on unlabeled markers. MFI 2016: 583-590 - [i3]Matthias Plappert, Christian Mandery, Tamim Asfour:
The KIT Motion-Language Dataset. CoRR abs/1607.03827 (2016) - 2015
- [c4]Christian Mandery, Júlia Borràs Sol
Analyzing whole-body pose transitions in multi-contact motions. Humanoids 2015: 1020-1027 - [c3]Christian Mandery, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, Tamim Asfour
The KIT whole-body human motion database. ICAR 2015: 329-336 - [c2]Tamim Asfour
On the Dualities Between Grasping and Whole-Body Loco-Manipulation Tasks. ISRR (2) 2015: 305-322 - [i2]Christian Mandery, Júlia Borràs Sol, Mirjam Jöchner, Tamim Asfour:
Analyzing Whole-Body Pose Transitions in Multi-Contact Motions. CoRR abs/1507.08799 (2015) - [i1]Jannik Steinbring, Christian Mandery, Nikolaus Vahrenkamp, Tamim Asfour, Uwe D. Hanebeck:
High-Accuracy Real-Time Whole-Body Human Motion Tracking Based on Constrained Nonlinear Kalman Filtering. CoRR abs/1511.04278 (2015) - 2014
- [c1]Ömer Terlemez, Stefan Ulbrich, Christian Mandery, Martin Do, Nikolaus Vahrenkamp, Tamim Asfour
Master Motor Map (MMM) - Framework and toolkit for capturing, representing, and reproducing human motion on humanoid robots. Humanoids 2014: 894-901
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