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ORCIDDorothea Koert
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- affiliation: TU Darmstadt, Germany
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Journal Articles
- 2024
[j9]Vignesh Prasad
, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. IEEE Robotics Autom. Lett. 9(7): 6043-6050 (2024)- 2023
- [j8]Lisa Scherf, Aljoscha Schmidt, Suman Pal, Dorothea Koert:
Interactively learning behavior trees from imperfect human demonstrations. Frontiers Robotics AI 10 (2023) - 2022
- [j7]Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert:
Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. IEEE Robotics Autom. Lett. 7(3): 7558-7565 (2022) - 2021
- [j6]Niyati Rawal, Dorothea Koert, Cigdem Turan, Kristian Kersting, Jan Peters, Ruth Stock-Homburg:
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers Robotics AI 8: 730317 (2021) - 2020
- [j5]Dorothea Koert, Maximilian Kircher, Vildan Salikutluk, Carlo D'Eramo, Jan Peters:
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. Frontiers Robotics AI 7: 97 (2020) - [j4]Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters:
Incremental Learning of an Open-Ended Collaborative Skill Library. Int. J. Humanoid Robotics 17(1): 2050001:1-2050001:23 (2020) - 2019
- [j3]Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters:
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. Frontiers Robotics AI 6: 89 (2019) - [j2]Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters:
Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics Autom. Lett. 4(4): 3719-3726 (2019) - 2016
- [j1]Guilherme Maeda, Marco Ewerton, Dorothea Koert, Jan Peters:
Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. IEEE Robotics Autom. Lett. 1(2): 784-791 (2016)
Conference and Workshop Papers
- 2024
- [c23]Vildan Salikutluk, Janik Schöpper, Franziska Herbert, Katrin Scheuermann, Eric Frodl, Dirk Balfanz, Frank Jäkel, Dorothea Koert:
An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting. CHI 2024: 300:1-300:17 - [c22]Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki:
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. HRI (Companion) 2024: 497-501 - [c21]Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Transition State Clustering for Interaction Segmentation and Learning. HRI (Companion) 2024: 512-516 - [c20]Lisa Scherf, Lisa Alina Gasche, Eya Chemangui, Dorothea Koert:
Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction. HRI 2024: 621-629 - [c19]Lisa Scherf, Kevin Fröhlich, Dorothea Koert:
Learning Action Conditions for Automatic Behavior Tree Generation from Human Demonstrations. HRI (Companion) 2024: 950-954 - 2023
- [c18]Vildan Salikutluk, Eric Frodl, Franziska Herbert, Dirk Balfanz, Dorothea Koert:
Situational Adaptive Autonomy in Human-AI Cooperation. AutomationXP@CHI 2023 - [c17]Vildan Salikutluk, Dorothea Koert, Frank Jäkel:
Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems. HHAI 2023: 153-167 - [c16]João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. IROS 2023: 1916-1923 - [c15]Martina Gassen, Frederic Metzler, Erik Prescher, Lisa Scherf, Vignesh Prasad, Felix Kaiser, Dorothea Koert:
I³: Interactive Iterative Improvement for Few-Shot Action Segmentation. RO-MAN 2023: 378-385 - [c14]Susanne Trick, Vilja Lott, Lisa Scherf, Constantin A. Rothkopf, Dorothea Koert:
What Can I Help You With: Towards Task-Independent Detection of Intentions for Interaction in a Human-Robot Environment. RO-MAN 2023: 592-599 - 2022
- [c13]Jonathan Vorndamme, João Carvalho, Riddhiman Laha, Dorothea Koert, Luis F. C. Figueredo, Jan Peters, Sami Haddadin:
Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. Humanoids 2022: 202-209 - [c12]João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters:
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. Humanoids 2022: 405-412 - [c11]Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. Humanoids 2022: 472-479 - [c10]Lisa Scherf, Cigdem Turan, Dorothea Koert:
Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning. Humanoids 2022: 895-902 - 2021
- [c9]Moritz Knaust, Dorothea Koert:
Guided Robot Skill Learning: A User-Study on Learning Probabilistic Movement Primitives with Non-Experts. HUMANOIDS 2021: 514-521 - [c8]Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov:
Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. ICMI 2021: 870-871 - 2019
- [c7]Marco Ewerton, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters:
Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. IROS 2019: 4294-4300 - [c6]Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf:
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. IROS 2019: 7009-7016 - 2018
- [c5]Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters:
Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Humanoids 2018: 1-9 - [c4]Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen:
Utilizing Human Feedback in POMDP Execution and Specification. Humanoids 2018: 104-111 - [c3]Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters:
Learning Coupled Forward-Inverse Models with Combined Prediction Errors. ICRA 2018: 2433-2439 - 2016
- [c2]Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters:
Demonstration based trajectory optimization for generalizable robot motions. Humanoids 2016: 515-522 - 2014
- [c1]Stefan Kohlbrecher, Florian Kunz, Dorothea Koert, Christian Rose, Paul Manns, Kevin Daun, Johannes Schubert, Alexander Stumpf, Oskar von Stryk:
Towards Highly Reliable Autonomy for Urban Search and Rescue Robots. RoboCup 2014: 118-129
Editorship
- 2023
- [e1]Dorothea Koert, Mirjam Minor:
Joint Proceedings of Workshops, Tutorials and Doctoral Consortium co-located with the 45rd German Conference on Artificial Intelligence (KI 2022), Virtual Event, Trier, Germany, September 19-20, 2022. CEUR Workshop Proceedings 3457, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2024
- [i8]Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki:
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. CoRR abs/2402.14525 (2024) - [i7]Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Transition State Clustering for Interaction Segmentation and Learning. CoRR abs/2402.14548 (2024) - [i6]Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations. CoRR abs/2407.07636 (2024) - 2023
- [i5]João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. CoRR abs/2308.01557 (2023) - [i4]Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
Learning Multimodal Latent Dynamics for Human-Robot Interaction. CoRR abs/2311.16380 (2023) - 2022
- [i3]João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters:
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives. CoRR abs/2203.03918 (2022) - [i2]Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki:
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. CoRR abs/2210.12418 (2022) - 2019
- [i1]Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf:
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. CoRR abs/1907.02426 (2019)
Coauthor Index
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