Dorothea Koert

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 39

Top Topics

Urban Search And Rescue

Diffusion Models

Reinforcement Learning

Intention Recognition

Top Venues

IEEE Robotics Autom. Lett.

Frontiers Robotics AI

Publications

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 (2024)
Lisa Scherf, Kevin Fröhlich, Dorothea Koert
Learning Action Conditions for Automatic Behavior Tree Generation from Human Demonstrations. HRI (Companion) (2024)
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) (2024)
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 (2024)
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)
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)
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 (2024)
Lisa Scherf, Lisa Alina Gasche, Eya Chemangui, Dorothea Koert
Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction. HRI (2024)
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)
Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
Learning Multimodal Latent Dynamics for Human-Robot Interaction. CoRR (2023)
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)
Vildan Salikutluk, Eric Frodl, Franziska Herbert, Dirk Balfanz, Dorothea Koert
Situational Adaptive Autonomy in Human-AI Cooperation. AutomationXP@CHI (2023)
Vildan Salikutluk, Dorothea Koert, Frank Jäkel
Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems. HHAI (2023)
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)
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)
Lisa Scherf, Aljoscha Schmidt, Suman Pal, Dorothea Koert
Interactively learning behavior trees from imperfect human demonstrations. Frontiers Robotics AI 10 (2023)
João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. CoRR (2023)
Lisa Scherf, Cigdem Turan, Dorothea Koert
Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning. Humanoids (2022)
João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives. CoRR (2022)
Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. Humanoids (2022)
Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. CoRR (2022)
João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. Humanoids (2022)
Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert
Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. IEEE Robotics Autom. Lett. 7 (3) (2022)
Jonathan Vorndamme, João Carvalho, Riddhiman Laha, Dorothea Koert, Luis Figueredo, Jan Peters, Sami Haddadin
Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. Humanoids (2022)
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 (2021)
Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov
Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. ICMI (2021)
Moritz Knaust, Dorothea Koert
Guided Robot Skill Learning: A User-Study on Learning Probabilistic Movement Primitives with Non-Experts. HUMANOIDS (2021)
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) (2020)
Dorothea Koert, Maximilian Kircher, Vildan Salikutluk, Carlo D'Eramo, Jan Peters
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. Frontiers Robotics AI 7 (2020)
Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. IROS (2019)
Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. CoRR (2019)
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) (2019)
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 (2019)
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)
Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters
Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Humanoids (2018)
Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters
Learning Coupled Forward-Inverse Models with Combined Prediction Errors. ICRA (2018)
Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen
Utilizing Human Feedback in POMDP Execution and Specification. Humanoids (2018)
Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters
Demonstration based trajectory optimization for generalizable robot motions. Humanoids (2016)
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) (2016)
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)