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David Vogt
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2010 – 2019
- 2018
- [j5]David Vogt
, Simon Stepputtis, Bernhard Jung, Heni Ben Amor:
One-shot learning of human-robot handovers with triadic interaction meshes. Auton. Robots 42(5): 1053-1065 (2018) - 2017
- [c12]David Vogt, Simon Stepputtis, Steve Grehl, Bernhard Jung, Heni Ben Amor:
A system for learning continuous human-robot interactions from human-human demonstrations. ICRA 2017: 2882-2889 - 2016
- [c11]David Vogt, Simon Stepputtis, Richard Weinhold, Bernhard Jung, Heni Ben Amor:
Learning human-robot interactions from human-human demonstrations (with applications in Lego rocket assembly). Humanoids 2016: 142-143 - [c10]Erik Berger, Steve Grehl, David Vogt, Bernhard Jung, Heni Ben Amor:
Experience-based torque estimation for an industrial robot. ICRA 2016: 144-149 - [c9]Erik Berger, David Vogt, Steve Grehl, Bernhard Jung, Heni Ben Amor:
Estimating perturbations from experience using neural networks and Information Transfer. IROS 2016: 176-181 - 2015
- [j4]Erik Berger, Mark Sastuba
Estimation of perturbations in robotic behavior using dynamic mode decomposition. Adv. Robotics 29(5): 331-343 (2015) - [j3]David Vogt, Ben Lorenz, Steve Grehl, Bernhard Jung:
Behavior generation for interactive virtual humans using context-dependent interaction meshes and automated constraint extraction. Comput. Animat. Virtual Worlds 26(3-4): 227-235 (2015) - [c8]Rodger Lea, Michael Blackstock, Nam Ky Giang, David Vogt:
Smart cities: engaging users and developers to foster innovation ecosystems. UbiComp/ISWC Adjunct 2015: 1535-1542 - 2014
- [j2]David Vogt, Heni Ben Amor, Erik Berger, Bernhard Jung:
Learning Two-Person Interaction Models for Responsive Synthetic Humanoids. J. Virtual Real. Broadcast. 11 (2014) - [c7]Erik Berger, David Muller, David Vogt, Bernhard Jung, Heni Ben Amor:
Transfer entropy for feature extraction in physical human-robot interaction: Detecting perturbations from low-cost sensors. Humanoids 2014: 829-834 - [c6]David Vogt, Steve Grehl, Erik Berger, Heni Ben Amor, Bernhard Jung:
A Data-Driven Method for Real-Time Character Animation in Human-Agent Interaction. IVA 2014: 463-476 - [c5]Erik Berger, Mark Sastuba
Dynamic Mode Decomposition for perturbation estimation in human robot interaction. RO-MAN 2014: 593-600 - 2013
- [j1]Zhikun Wang, Katharina Mülling, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Bernhard Schölkopf
Probabilistic movement modeling for intention inference in human-robot interaction. Int. J. Robotics Res. 32(7): 841-858 (2013) - [c4]Heni Ben Amor, David Vogt, Marco Ewerton, Erik Berger, Bernhard Jung, Jan Peters
Learning responsive robot behavior by imitation. IROS 2013: 3257-3264 - 2012
- [c3]Zhikun Wang, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Bernhard Schölkopf, Jan Peters:
Probabilistic Modeling of Human Movements for Intention Inference. Robotics: Science and Systems 2012 - [c2]David Vogt, Erik Berger, Heni Ben Amor, Bernhard Jung:
Learning Two-Person Interaction Models for Responsive Virtual Characters and Humanoid Robots. VR/AR 2012: 119-130
2000 – 2009
- 2009
- [c1]Heni Ben Amor, Erik Berger, David Vogt, Bernhard Jung:
Kinesthetic Bootstrapping: Teaching Motor Skills to Humanoid Robots through Physical Interaction. KI 2009: 492-499
Coauthor Index
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