Policy Learning - A Unified Perspective with Applications in Robotics. - Jan Peters 001; Jens Kober; Duy Nguyen-Tuong (EWRL, 2008)

Learning perceptual coupling for motor primitives. - Jens Kober; Betty J. Mohler; Jan Peters 001 (IROS, 2008)

Using Bayesian Dynamical Systems for Motion Template Libraries. - Silvia Chiappa; Jens Kober; Jan Peters 001 (NIPS, 2008)

Using reward-weighted imitation for robot Reinforcement Learning. - Jan Peters 001; Jens Kober (ADPRL, 2009)

Learning New Basic Movements for Robotics. - Jens Kober; Jan Peters 001 (AMS, 2009)

Learning motor primitives for robotics. - Jens Kober; Jan Peters 001 (ICRA, 2009)

Towards Motor Skill Learning for Robotics. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ISRR, 2009)

Policy Search for Motor Primitives. - Jens Kober; Jan Peters 001 (Künstliche Intell., 2009)

Learning table tennis with a Mixture of Motor Primitives. - Katharina Mülling; Jens Kober; Jan Peters 001 (Humanoids, 2010)

Movement templates for learning of hitting and batting. - Jens Kober; Katharina Mülling; Oliver Kroemer; Christoph H. Lampert; Bernhard Schölkopf; Jan Peters 001 (ICRA, 2010)

Experiments with Motor Primitives in Table Tennis. - Jan Peters 001; Katharina Mülling; Jens Kober (ISER, 2010)

Simulating Human Table Tennis with a Biomimetic Robot Setup. - Katharina Mülling; Jens Kober; Jan Peters 001 (SAB, 2010)

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills). - Jan Peters 001; Jens Kober; Stefan Schaal (Autom., 2010)

Imitation and Reinforcement Learning. - Jens Kober; Jan Peters 001 (IEEE Robotics Autom. Mag., 2010)

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling. - Jens Kober; Betty J. Mohler; Jan Peters 001 (From Motor Learning to Interaction Learning in Robots, 2010)

Reinforcement Learning to Adjust Robot Movements to New Situations. - Jens Kober; Erhan Öztop; Jan Peters 001 (IJCAI, 2011)

Learning elementary movements jointly with a higher level task. - Jens Kober; Jan Peters 001 (IROS, 2011)

A biomimetic approach to robot table tennis. - Katharina Mülling; Jens Kober; Jan Peters 001 (Adapt. Behav., 2011)

Relative Entropy Inverse Reinforcement Learning. - Abdeslam Boularias; Jens Kober; Jan Peters 001 (AISTATS, 2011)

Policy search for motor primitives in robotics. - Jens Kober; Jan Peters 001 (Mach. Learn., 2011)

Reinforcement Learning in Robotics: A Survey. - Jens Kober; Jan Peters 001 (Reinforcement Learning, 2012)

Robot Skill Learning. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ECAI, 2012)

Lernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten. - Jens Kober (Ausgezeichnete Informatikdissertationen, 2012)

Playing catch and juggling with a humanoid robot. - Jens Kober; Matthew Glisson; Michael N. Mistry (Humanoids, 2012)

Learning throwing and catching skills. - Jens Kober; Katharina Mülling; Jan Peters 001 (IROS, 2012)

Reinforcement learning to adjust parametrized motor primitives to new situations. - Jens Kober; Andreas Wilhelm; Erhan Öztop; Jan Peters 001 (Auton. Robots, 2012)

Learning Prioritized Control of Motor Primitives - Jens Kober; Jan Peters 001 (CoRR, 2012)

Learning motor skills: from algorithms to robot experiments (Lernen motorischer Fähigkeiten). - Jens Kober (2012)

Towards Robot Skill Learning: From Simple Skills to Table Tennis. - Jan Peters 001; Jens Kober; Katharina Mülling; Oliver Krömer; Gerhard Neumann (ECML/PKDD (3), 2013)

Reinforcement learning in robotics: A survey. - Jens Kober; J. Andrew Bagnell; Jan Peters 001 (Int. J. Robotics Res., 2013)

Learning to select and generalize striking movements in robot table tennis. - Katharina Mülling; Jens Kober; Oliver Kroemer; Jan Peters 001 (Int. J. Robotics Res., 2013)

Learning to sequence movement primitives from demonstrations. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (IROS, 2014)

Learning motor skills: from algorithms to robot experiments. - Jens Kober (it Inf. Technol., 2014)

Learning Motor Skills - From Algorithms to Robot Experiments - Jens Kober; Jan Peters 001 (Springer, 2014)

Learning movement primitives for force interaction tasks. - Jens Kober; Michael Gienger; Jochen J. Steil (ICRA, 2015)

Probabilistic progress prediction and sequencing of concurrent movement primitives. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (IROS, 2015)

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (Robotics Auton. Syst., 2015)

Learning state representation for deep actor-critic control. - Jelle Munk; Jens Kober; Robert Babuska (CDC, 2016)

Improved deep reinforcement learning for robotics through distribution-based experience retention. - Tim de Bruin; Jens Kober; Karl Tuyls; Robert Babuska (IROS, 2016)

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (IROS, 2016)

Robot Learning. - Jan Peters 001; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal (Springer Handbook of Robotics, 2nd Ed., 2016)

Human-Robot Cooperative Object Manipulation with Contact Changes. - Michael Gienger; Dirk Ruiken; Tamas Bates; Mohamed Regaieg; Michael MeiBner; Jens Kober; Philipp Seiwald; Arne-Christoph Hildebrandt (IROS, 2018)

Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks. - Rodrigo Pérez-Dattari; Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (ISER, 2018)

Head-tracked off-axis perspective projection improves gaze readability of 3D virtual avatars. - Tamas Bates; Jens Kober; Michael Gienger (SIGGRAPH Asia Technical Briefs, 2018)

Reinforcement learning for control: Performance, stability, and deep approximators. - Lucian Busoniu; Tim de Bruin; Domagoj Tolic; Jens Kober; Ivana Palunko (Annu. Rev. Control., 2018)

Experience Selection in Deep Reinforcement Learning for Control. - Tim de Bruin; Jens Kober; Karl Tuyls; Robert Babuska (J. Mach. Learn. Res., 2018)

Integrating State Representation Learning Into Deep Reinforcement Learning. - Tim de Bruin; Jens Kober; Karl Tuyls; Robert Babuska (IEEE Robotics Autom. Lett., 2018)

Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback. - Carlos Celemin; Jens Kober (AIM, 2019)

A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed. - Nikolaos Moustakis; Sebastiaan Paul Mulders; Jens Kober; Jan-Willem van Wingerden (ACC, 2019)

Deep Reinforcement Learning with Feedback-based Exploration. - Jan Scholten; Daan Wout; Carlos Celemin; Jens Kober (CDC, 2019)

Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. - Rodrigo Pérez-Dattari; Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (ICRA, 2019)

A fast hybrid reinforcement learning framework with human corrective feedback. - Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (Auton. Robots, 2019)

Learning Gaussian Policies from Corrective Human Feedback. - Daan Wout; Jan Scholten; Carlos Celemin; Jens Kober (CoRR, 2019)

Reinforcement learning based compensation methods for robot manipulators. - Yudha P. Pane; Subramanya Nageshrao; Jens Kober; Robert Babuska (Eng. Appl. Artif. Intell., 2019)

Reinforcement learning of motor skills using Policy Search and human corrective advice. - Carlos Celemin; Guilherme Maeda; Javier Ruiz-del-Solar; Jan Peters 001; Jens Kober (Int. J. Robotics Res., 2019)

Learning Interactively to Resolve Ambiguity in Reference Frame Selection. - Giovanni Franzese; Carlos Celemin; Jens Kober (CoRL, 2020)

Interactive Imitation Learning in State-Space. - Snehal Jauhri; Carlos Celemin; Jens Kober (CoRL, 2020)

Robot Technology in Analyzing Tooth Removal - a Proof of Concept. - Tom C. T. van Riet; Willem M. de Graaf; Reinier van Antwerpen; Jan van Frankenhuyzen; Jan de Lange; Jens Kober (EMBC, 2020)

Predicting and Optimizing Ergonomics in Physical Human-Robot Cooperation Tasks. - Linda F. van der Spaa; Michael Gienger; Tamas Bates; Jens Kober (ICRA, 2020)

Tactile-Based Self-supervised Pose Estimation for Robust Grasping. - Padmaja Kulkarni; Jens Kober; Robert Babuska (ISER, 2020)

DeepKoCo: Efficient latent planning with an invariant Koopman representation. - Bas van der Heijden; Laura Ferranti; Jens Kober; Robert Babuska (CoRR, 2020)

Deep Learning and Machine Learning in Robotics [From the Guest Editors]. - Fabio Bonsignorio; David Hsu; Matthew Johnson-Roberson; Jens Kober (IEEE Robotics Autom. Mag., 2020)

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback. - Rodrigo Pérez-Dattari; Carlos Celemin; Giovanni Franzese; Javier Ruiz-del-Solar; Jens Kober (IEEE Robotics Autom. Mag., 2020)

Learning Sequential Force Interaction Skills. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (Robotics, 2020)

Smooth Exploration for Robotic Reinforcement Learning. - Antonin Raffin; Jens Kober; Freek Stulp (CoRL, 2021)

Uncertainties based queries for Interactive policy learning with evaluations and corrections. - Carlos Celemin; Jens Kober (ICMI Companion, 2021)

Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation. - Peter Valletta; Rodrigo Pérez-Dattari; Jens Kober (ICRA, 2021)

ILoSA: Interactive Learning of Stiffness and Attractors. - Giovanni Franzese; Anna Mészáros; Luka Peternel; Jens Kober (IROS, 2021)

DeepKoCo: Efficient latent planning with a task-relevant Koopman representation. - Bas van der Heijden; Laura Ferranti; Jens Kober; Robert Babuska (IROS, 2021)

Interactive Learning of Sensor Policy Fusion. - Bart Bootsma; Giovanni Franzese; Jens Kober (RO-MAN, 2021)

Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions. - Osama Mazhar; Jens Kober (CoRR, 2021)

GEM: Glare or Gloom, I Can Still See You - End-to-End Multimodal Object Detector. - Osama Mazhar; Jens Kober; Robert Babuska (CoRR, 2021)

Teaching Robots to Grasp Like Humans: An Interactive Approach. - Anna Mészáros; Giovanni Franzese; Jens Kober (CoRR, 2021)

GEM: Glare or Gloom, I Can Still See You - End-to-End Multi-Modal Object Detection. - Osama Mazhar; Robert Babuska; Jens Kober (IEEE Robotics Autom. Lett., 2021)

Development and testing of a prototype of a dental extraction trainer with real-time feedback on forces, torques, and angular velocity. - Maaike G. Beuling; Tom C. T. van Riet; Jan van Frankenhuyzen; Reinier van Antwerpen; Bas de Blocq van Scheltinga; Arnout H. H. Dourleijn; Dzan Ireiz; Sander Streefkerk; Jonathan C. van Zanten Jan de Lange; Jens Kober; Dimitra Dodou (EMBC, 2022)

Automatic Tuning and Selection of Whole-Body Controllers. - Evelyn D'Elia; Jean-Baptiste Mouret; Jens Kober; Serena Ivaldi (IROS, 2022)

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. - Nikolaos Passalis; S. Pedrazzi; Robert Babuska; Wolfram Burgard; D. Dias; F. Ferro; Moncef Gabbouj; O. Green; Alexandros Iosifidis; Erdal Kayacan; Jens Kober; O. Michel; et al. (IROS, 2022)

Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning. - Padmaja Kulkarni; Jens Kober; Robert Babuska; Cosimo Della Santina (Adv. Intell. Syst., 2022)

Learning to Exploit Elastic Actuators for Quadruped Locomotion. - Antonin Raffin; Daniel Seidel; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (CoRR, 2022)

Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration. - Mariano Ramírez Montero; Giovanni Franzese; Jeroen Zwanepol; Jens Kober (CoRR, 2022)

Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field. - Yurui Du; Flavia Sofia Acerbo; Jens Kober; Tong Duy Son (CoRR, 2022)

Interactive Imitation Learning of Bimanual Movement Primitives. - Giovanni Franzese; Leandro de Souza Rosa; Tim Verburg; Luka Peternel; Jens Kober (CoRR, 2022)

Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios. - Julian Frederik Schumann; Jens Kober; Arkady Zgonnikov (CoRR, 2022)

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning. - Jelle Luijkx; Zlatan Ajanovic; Laura Ferranti; Jens Kober (CoRR, 2022)

Interactive Imitation Learning in Robotics: A Survey. - Carlos Celemin; Rodrigo Pérez-Dattari; Eugenio Chisari; Giovanni Franzese; Leandro de Souza Rosa; Ravi Prakash 002; Zlatan Ajanovic; Marta Ferraz; Abhinav Valada; Jens Kober (Found. Trends Robotics, 2022)

Learning to Pick at Non-Zero-Velocity From Interactive Demonstrations. - Anna Mészáros; Giovanni Franzese; Jens Kober (IEEE Robotics Autom. Lett., 2022)

Learning Task-Parameterized Skills From Few Demonstrations. - Jihong Zhu 002; Michael Gienger; Jens Kober (IEEE Robotics Autom. Lett., 2022)

Challenges and Outlook in Robotic Manipulation of Deformable Objects. - Jihong Zhu 002; Andrea Cherubini; Claire Dune; David Navarro-Alarcon; Farshid Alambeigi; Dmitry Berenson; Fanny Ficuciello; Kensuke Harada; Jens Kober; Xiang Li 009; Jia Pan 001; Wenzhen Yuan 001; et al. (IEEE Robotics Autom. Mag., 2022)

Robotic Packaging Optimization with Reinforcement Learning. - Eveline Drijver; Rodrigo Pérez-Dattari; Jens Kober; Cosimo Della Santina; Zlatan Ajanovic (CASE, 2023)

Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments. - Khaled A. Mustafa; Oscar de Groot; Xinwei Wang 006; Jens Kober; Javier Alonso-Mora (ICRA, 2023)

Robotic Fabric Flattening with Wrinkle Direction Detection. - Yulei Qiu; Jihong Zhu 002; Cosimo Della Santina; Michael Gienger; Jens Kober (ISER, 2023)

Learning from Few Demonstrations with Frame-Weighted Motion Generation. - Jianyong Sun; Jens Kober; Michael Gienger; Jihong Zhu 002 (ISER, 2023)

Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study. - Julian Frederik Schumann; Aravinda Ramakrishnan Srinivasan; Jens Kober; Gustav Markkula; Arkady Zgonnikov (ITSC, 2023)

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Human Preferences. - Armin Avaei; Linda F. van der Spaa; Luka Peternel; Jens Kober (CoRR, 2023)

TrajFlow: Learning the Distribution over Trajectories. - Anna Mészáros; Javier Alonso-Mora; Jens Kober (CoRR, 2023)

A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. - Antonin Raffin; Olivier Sigaud; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (CoRR, 2023)

Deep Metric Imitation Learning for Stable Motion Primitives. - Rodrigo Pérez-Dattari; Cosimo Della Santina; Jens Kober (CoRR, 2023)

Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. - Julian Frederik Schumann; Jens Kober; Arkady Zgonnikov (IEEE Trans. Intell. Veh., 2023)

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Separated Path and Velocity Preferences. - Armin Avaei; Linda F. van der Spaa; Luka Peternel; Jens Kober (Robotics, 2023)

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback. - Carlos Celemin; Jens Kober (Neural Comput. Appl., 2023)

Stable Motion Primitives via Imitation and Contrastive Learning. - Rodrigo Pérez-Dattari; Jens Kober (IEEE Trans. Robotics, 2023)

Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds. - Francesco Vezzi; Jiatao Ding; Antonin Raffin; Jens Kober; Cosimo Della Santina (ICRA, 2024)

ROME: Robust Multi-Modal Density Estimator. - Anna Mészáros; Julian F. Schumann; Javier Alonso-Mora; Arkady Zgonnikov; Jens Kober (IJCAI, 2024)

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes. - Mariano Ramírez Montero; Giovanni Franzese; Jens Kober; Cosimo Della Santina (IROS, 2024)

TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction. - Anna Mészáros; Julian Frederik Schumann; Javier Alonso-Mora; Arkady Zgonnikov; Jens Kober (IV, 2024)

Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. - Julian F. Schumann; Jens Kober; Arkady Zgonnikov (IV, 2024)

An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data. - Tomás Coleman; Robert Babuska; Jens Kober; Cosimo Della Santina (MED, 2024)

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. - Antonin Raffin; Olivier Sigaud; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (RLJ, 2024)

Demonstrating Adaptive Mobile Manipulation in Retail Environments. - Max Spahn; Corrado Pezzato; Chadi Salmi; Rick Dekker; Cong Wang; Christian Pek; Jens Kober; Javier Alonso-Mora; Carlos Hernández Corbato; Martijn Wisse (Robotics: Science and Systems, 2024)

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going. - Di Wu 053; Renchi Zhang; Ameya Pore; Diego Dall'Alba; Xuan Thao Ha; Zhen Li 035; Yao Zhang 029; Fernando Herrera; Mouloud Ourak; Wojtek Kowalczyk; Elena De Momi; Alícia Casals; et al. (Biomed. Signal Process. Control., 2024)

Robust Multi-Modal Density Estimation. - Anna Mészáros; Julian Frederik Schumann; Javier Alonso-Mora; Arkady Zgonnikov; Jens Kober (CoRR, 2024)

ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models. - Runyu Ma; Jelle Luijkx; Zlatan Ajanovic; Jens Kober (CoRR, 2024)

Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation. - Giovanni Franzese; Ravi Prakash 002; Jens Kober (CoRR, 2024)

EAGERx: Graph-Based Framework for Sim2real Robot Learning. - Bas van der Heijden; Jelle Luijkx; Laura Ferranti; Jens Kober; Robert Babuska (CoRR, 2024)

Leveraging LLMs, Graphs and Object Hierarchies for Task Planning in Large-Scale Environments. - Rodrigo Pérez-Dattari; Zhaoting Li; Robert Babuska; Jens Kober; Cosimo Della Santina (CoRR, 2024)

ILeSiA: Interactive Learning of Situational Awareness from Camera Input. - Petr Vanc; Giovanni Franzese; Jan Kristof Behrens; Cosimo Della Santina; Karla Stépánová; Jens Kober (CoRR, 2024)

Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions. - Cong Wang; Aoming Liang; Fei Han; Xinyu Zeng; Zhibin Li; Dixia Fan; Jens Kober (CoRR, 2024)

Task-unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation. - Pengzhi Yang; Xinyu Wang; Ruipeng Zhang; Cong Wang; Frans A. Oliehoek; Jens Kober (CoRR, 2024)

Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning. - Mariano Ramírez Montero; Ebrahim Shahabi; Giovanni Franzese; Jens Kober; Barbara Mazzolai; Cosimo Della Santina (CoRR, 2024)

Efficient Parallelized Simulation of Cyber-Physical Systems. - Bas van der Heijden; Laura Ferranti; Jens Kober; Robert Babuska (Trans. Mach. Learn. Res., 2024)

Robust Quadrupedal Jumping With Impact-Aware Landing: Exploiting Parallel Elasticity. - Jiatao Ding; Vassil Atanassov; Edoardo Panichi; Jens Kober; Cosimo Della Santina (IEEE Trans. Robotics, 2024)

Quadratic Programming-Based Reference Spreading Control for Dual-Arm Robotic Manipulation With Planned Simultaneous Impacts. - Jari J. van Steen; Gijs van den Brandt; Nathan van de Wouw; Jens Kober; Alessandro Saccon (IEEE Trans. Robotics, 2024)

Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme. - Jihong Zhu 002; Michael Gienger; Giovanni Franzese; Jens Kober (IEEE Trans. Robotics, 2024)

Robust Jumping With an Articulated Soft Quadruped Via Trajectory Optimization and Iterative Learning. - Jiatao Ding; Mees A. van Löben Sels; Franco Angelini; Jens Kober; Cosimo Della Santina (IEEE Robotics Autom. Lett., 2024)

Simultaneously learning intentions and preferences during physical human-robot cooperation. - Linda F. van der Spaa; Jens Kober; Michael Gienger (Auton. Robots, 2024)

PUMA: Deep Metric Imitation Learning for Stable Motion Primitives. - Rodrigo Pérez-Dattari; Cosimo Della Santina; Jens Kober (Adv. Intell. Syst., 2024)

Output-Constrained Individual Pitch Control using an Adaptive Leaky Integrator for Wind Turbine Blade Load Reductions. - Jesse I. S. Hummel; Jens Kober; Sebastiaan Paul Mulders (ACC, 2025)

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. - Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters 001 (ICLR, 2025)

REX: GPU-Accelerated Sim2Real Framework with Delay and Dynamics Estimation. - Bas van der Heijden; Jens Kober; Robert Babuska; Laura Ferranti (Trans. Mach. Learn. Res., 2025)

ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning. - Jelle Luijkx; Zlatan Ajanovic; Laura Ferranti; Jens Kober (Trans. Mach. Learn. Res., 2025)

Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization. - Daniel Jarne Ornia; Giannis Delimpaltadakis; Jens Kober; Javier Alonso-Mora (Trans. Mach. Learn. Res., 2025)

Generalizable Motion Policies Through Keypoint Parameterization and Transportation Maps. - Giovanni Franzese; Ravi Prakash 002; Cosimo Della Santina; Jens Kober (IEEE Trans. Robotics, 2025)

RACP: Risk-Aware Contingency Planning With Multi-Modal Predictions. - Khaled A. Mustafa; Daniel Jarne Ornia; Jens Kober; Javier Alonso-Mora (IEEE Trans. Intell. Veh., 2025)

Beyond Behavior Cloning: Robustness through Interactive Imitation and Contrastive Learning. - Zhaoting Li; Rodrigo Pérez-Dattari; Robert Babuska; Cosimo Della Santina; Jens Kober (CoRR, 2025)

MUKCa: Accurate and Affordable Cobot Calibration Without External Measurement Devices. - Giovanni Franzese; Max Spahn; Jens Kober; Cosimo Della Santina (CoRR, 2025)

Explosive Jumping with Rigid and Articulated Soft Quadrupeds via Example Guided Reinforcement Learning. - Georgios Apostolides; Wei Pan 004; Jens Kober; Cosimo Della Santina; Jiatao Ding (CoRR, 2025)

Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds. - Jiatao Ding; Peiyu Yang; Fabio Boekel; Jens Kober; Wei Pan 004; Matteo Saveriano; Cosimo Della Santina (CoRR, 2025)

Active inference as a unified model of collision avoidance behavior in human drivers. - Julian F. Schumann; Johan Engström; Leif Johnson; Matthew O'Kelly; Joao Messias; Jens Kober; Arkady Zgonnikov (CoRR, 2025)

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models. - Maarten Hugenholtz; Anna Mészáros; Jens Kober; Zlatan Ajanovic (CoRR, 2025)

Correction to "GEM: Glare or Gloom, I Can Still See You - End-to-End Multi-Modal Object Detection". - Osama Mazhar; Robert Babuska; Jens Kober (IEEE Robotics Autom. Lett., 2025)

Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-Free Design. - Vassil Atanassov; Jiatao Ding; Jens Kober; Ioannis Havoutis; Cosimo Della Santina (IEEE Robotics Autom. Mag., 2025)

Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning. - Bas van der Heijden; Jelle Luijkx; Laura Ferranti; Jens Kober; Robert Babuska (IEEE Robotics Autom. Mag., 2025)