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 (RoboCup, 2014)

Demonstration based trajectory optimization for generalizable robot motions. - Dorothea Koert; Guilherme Maeda; Rudolf Lioutikov; Gerhard Neumann; Jan Peters 001 (Humanoids, 2016)

Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. - Guilherme Maeda; Marco Ewerton; Dorothea Koert; Jan Peters 001 (IEEE Robotics Autom. Lett., 2016)

Utilizing Human Feedback in POMDP Execution and Specification. - Janine Hoelscher; Dorothea Koert; Jan Peters 001; Joni Pajarinen (Humanoids, 2018)

Online Learning of an Open-Ended Skill Library for Collaborative Tasks. - Dorothea Koert; Susanne Trick; Marco Ewerton; Michael Lutter; Jan Peters 001 (Humanoids, 2018)

Learning Coupled Forward-Inverse Models with Combined Prediction Errors. - Dorothea Koert; Guilherme Maeda; Gerhard Neumann; Jan Peters 001 (ICRA, 2018)

Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. - Marco Ewerton; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters 001 (IROS, 2019)

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. - Susanne Trick; Dorothea Koert; Jan Peters 001; Constantin A. Rothkopf (IROS, 2019)

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. - Marco Ewerton; Oleg Arenz; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters 001 (Frontiers Robotics AI, 2019)

Learning Intention Aware Online Adaptation of Movement Primitives. - Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2019)

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. - Dorothea Koert; Maximilian Kircher; Vildan Salikutluk; Carlo D'Eramo; Jan Peters 001 (Frontiers Robotics AI, 2020)

Incremental Learning of an Open-Ended Collaborative Skill Library. - Dorothea Koert; Susanne Trick; Marco Ewerton; Michael Lutter; Jan Peters 001 (Int. J. Humanoid Robotics, 2020)

Guided Robot Skill Learning: A User-Study on Learning Probabilistic Movement Primitives with Non-Experts. - Moritz Knaust; Dorothea Koert (HUMANOIDS, 2021)

Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. - Cigdem Turan; Dorothea Koert; Karl David Neergaard; Rudolf Lioutikov (ICMI, 2021)

ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. - Niyati Rawal; Dorothea Koert; Cigdem Turan; Kristian Kersting; Jan Peters 001; Ruth Stock-Homburg (Frontiers Robotics AI, 2021)

Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. - João Carvalho; Dorothea Koert; Marek Daniv; Jan Peters 001 (Humanoids, 2022)

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. - Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (Humanoids, 2022)

Learning from Unreliable Human Action Advice in Interactive Reinforcement Learning. - Lisa Scherf; Cigdem Turan; Dorothea Koert (Humanoids, 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 001; Sami Haddadin (Humanoids, 2022)

Residual Robot Learning for Object-Centric Probabilistic Movement Primitives. - João Carvalho; Dorothea Koert; Marek Daniv; Jan Peters 001 (CoRR, 2022)

Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. - Susanne Trick; Franziska Herbert; Constantin A. Rothkopf; Dorothea Koert (IEEE Robotics Autom. Lett., 2022)

Situational Adaptive Autonomy in Human-AI Cooperation. - Vildan Salikutluk; Eric Frodl; Franziska Herbert; Dirk Balfanz; Dorothea Koert (AutomationXP@CHI, 2023)

Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems. - Vildan Salikutluk; Dorothea Koert; Frank Jäkel (HHAI, 2023)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. - João Carvalho; An T. Le 001; Mark Baierl; Dorothea Koert; Jan Peters 001 (IROS, 2023)

I³: Interactive Iterative Improvement for Few-Shot Action Segmentation. - Martina Gassen; Frederic Metzler; Erik Prescher; Lisa Scherf; Vignesh Prasad; Felix Kaiser; Dorothea Koert (RO-MAN, 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 (RO-MAN, 2023)

Interactively learning behavior trees from imperfect human demonstrations. - Lisa Scherf; Aljoscha Schmidt; Suman Pal; Dorothea Koert (Frontiers Robotics AI, 2023)

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 (CHI, 2024)

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. - Yasemin Göksu; Antonio De Almeida Correia; Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Jan Peters 001; Georgia Chalvatzaki (HRI (Companion), 2024)

Transition State Clustering for Interaction Segmentation and Learning. - Fabian Hahne; Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Ruth Maria Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (HRI (Companion), 2024)

Learning Action Conditions for Automatic Behavior Tree Generation from Human Demonstrations. - Lisa Scherf; Kevin Fröhlich; Dorothea Koert (HRI (Companion), 2024)

Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction. - Lisa Scherf; Lisa Alina Gasche; Eya Chemangui; Dorothea Koert (HRI, 2024)

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3. - Joao Carvalho; An T. Le 001; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters 001 (CoRR, 2024)

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. - Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (IEEE Robotics Autom. Lett., 2024)

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models. - João Carvalho; An T. Le 001; Piotr Kicki; Dorothea Koert; Jan Peters 001 (IEEE Trans. Robotics, 2025)

Learning Multimodal Latent Dynamics for Human-Robot Interaction. - Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (IEEE Trans. Robotics, 2025)

Entropy based blending of policies for multi-agent coexistence. - David Rother; Franziska Herbert; Fabian Kalter; Dorothea Koert; Joni Pajarinen; Jan Peters 001; Thomas H. Weisswange (Auton. Agents Multi Agent Syst., 2025)