Dorothea Koert

According to our database, Dorothea Koert authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations.

Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki

IEEE Robotics Autom. Lett., July, 2024

Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction.

Lisa Scherf, Lisa Alina Gasche, Eya Chemangui, Dorothea Koert

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Learning Action Conditions for Automatic Behavior Tree Generation from Human Demonstrations.

Lisa Scherf, Kevin Fröhlich, Dorothea Koert

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Transition State Clustering for Interaction Segmentation and Learning.

Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers.

Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting.

Vildan Salikutluk, Janik Schöpper, Franziska Herbert, Katrin Scheuermann, Eric Frodl, Dirk Balfanz, Frank Jäkel, Dorothea Koert

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Interactively learning behavior trees from imperfect human demonstrations.

Lisa Scherf, Aljoscha Schmidt, Suman Pal, Dorothea Koert

Frontiers Robotics AI, March, 2023

Learning Multimodal Latent Dynamics for Human-Robot Interaction.

Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki

CoRR, 2023

What Can I Help You With: Towards Task-Independent Detection of Intentions for Interaction in a Human-Robot Environment.

Susanne Trick, Vilja Lott, Lisa Scherf, Constantin A. Rothkopf, Dorothea Koert

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

I³: Interactive Iterative Improvement for Few-Shot Action Segmentation.

Martina Gassen, Frederic Metzler, Erik Prescher, Lisa Scherf, Vignesh Prasad, Felix Kaiser, Dorothea Koert

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.

João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters

IROS, 2023

Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems.

Vildan Salikutluk, Dorothea Koert, Frank Jäkel

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Situational Adaptive Autonomy in Human-AI Cooperation.

Vildan Salikutluk, Eric Frodl, Franziska Herbert, Dirk Balfanz, Dorothea Koert

Proceedings of the Workshop on Intervening, 2023

2022

Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice.

Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert

IEEE Robotics Autom. Lett., 2022

Residual Robot Learning for Object-Centric Probabilistic Movement Primitives.

João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters

CoRR, 2022

Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives.

Jonathan Vorndamme, João Carvalho, Riddhiman Laha, Dorothea Koert, Luis F. C. Figueredo, Jan Peters, Sami Haddadin

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning.

Lisa Scherf, Cigdem Turan, Dorothea Koert

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.

Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning.

João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition.

Niyati Rawal, Dorothea Koert, Cigdem Turan, Kristian Kersting, Jan Peters, Ruth Stock-Homburg

Frontiers Robotics AI, 2021

Empowering Interactive Robots by Learning Through Multimodal Feedback Channel.

Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Guided Robot Skill Learning: A User-Study on Learning Probabilistic Movement Primitives with Non-Experts.

Moritz Knaust, Dorothea Koert

Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

2020

Incremental Learning of an Open-Ended Collaborative Skill Library.

Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters

Int. J. Humanoid Robotics, 2020

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks.

Dorothea Koert, Maximilian Kircher, Vildan Salikutluk, Carlo D'Eramo, Jan Peters

Frontiers Robotics AI, 2020

2019

Learning Intention Aware Online Adaptation of Movement Primitives.

Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters

IEEE Robotics Autom. Lett., 2019

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.

Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters

Frontiers Robotics AI, 2019

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.

Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning.

Marco Ewerton, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Learning Coupled Forward-Inverse Models with Combined Prediction Errors.

Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Online Learning of an Open-Ended Skill Library for Collaborative Tasks.

Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Utilizing Human Feedback in POMDP Execution and Specification.

Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2016

Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills.

Guilherme Maeda, Marco Ewerton, Dorothea Koert, Jan Peters

IEEE Robotics Autom. Lett., 2016

Demonstration based trajectory optimization for generalizable robot motions.

Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2014

Towards Highly Reliable Autonomy for Urban Search and Rescue Robots.

Stefan Kohlbrecher, Florian Kunz, Dorothea Koert, Christian Rose, Paul Manns, Kevin Daun, Johannes Schubert, Alexander Stumpf, Oskar von Stryk

Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014