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David Vogt
David Vogt
Dr.-Ing., Robert Bosch GmbH
Verified email at david-vogt.com - Homepage
Title
Cited by
Cited by
Year
Probabilistic movement modeling for intention inference in human–robot interaction
Z Wang, K Mülling, MP Deisenroth, H Ben Amor, D Vogt, B Schölkopf, ...
The International Journal of Robotics Research 32 (7), 841-858, 2013
1962013
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
A System for Learning Continuous Human-Robot Interactions from Human-Human Demonstrations
D Vogt, S Stepputtis, S Grehl, B Jung, H Ben Amor
IEEE International Conference on Robotics and Automation (ICRA), 2017
892017
Probabilistic modeling of human movements for intention inference
Z Wang, MP Deisenroth, HB Amor, D Vogt, B Schölkopf, J Peters
602013
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
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
One-shot learning of human–robot handovers with triadic interaction meshes
D Vogt, S Stepputtis, B Jung, HB Amor
Autonomous Robots 42, 1053-1065, 2018
302018
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
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
Learning human-robot interactions from human-human demonstrations (with applications in lego rocket assembly)
D Vogt, S Stepputtis, R Weinhold, B Jung, HB Amor
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
92016
Behavior generation for interactive virtual humans using context‐dependent interaction meshes and automated constraint extraction
D Vogt, B Lorenz, S Grehl, B Jung
Computer Animation and Virtual Worlds 26 (3-4), 227-235, 2015
92015
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
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
Learning Continuous Human-Robot Interactions from Human-Human Demonstrations
D Vogt
2018
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Articles 1–20