Differentiable Trust Region Layers for Deep Reinforcement Learning. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Hanna Carolin Maria Ziesche; Gerhard Neumann (ICLR, 2021)

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. - Alireza Ranjbar; Ngo Anh Vien; Hanna Ziesche; Joschka Boedecker; Gerhard Neumann (IROS, 2021)

Deep Black-Box Reinforcement Learning with Movement Primitives. - Fabian Otto; Onur Celik; Hongyi Zhou; Hanna Ziesche; Ngo Anh Vien; Gerhard Neumann (CoRL, 2022)

What Matters For Meta-Learning Vision Regression Tasks? - Ning Gao; Hanna Ziesche; Ngo Anh Vien; Michael Volpp; Gerhard Neumann (CVPR, 2022)

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. - Fabian Duffhauss; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (ECCV (39), 2022)

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. - Zohar Feldman; Hanna Ziesche; Ngo Anh Vien; Dotan Di Castro (ICRA, 2022)

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. - Ruijie Chen; Ning Gao; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (CoRR, 2022)

Category-Agnostic 6D Pose Estimation with Conditional Neural Processes. - Yumeng Li; Ning Gao; Hanna Ziesche; Gerhard Neumann (CoRR, 2022)

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. - Michael Herman; Jörg Wagner; Vishnu Suganth Prabhakaran; Nicolas Möser; Hanna Ziesche; Waleed Ahmed; Lutz Bürkle; Ernst Kloppenburg; Claudius Gläser (IEEE Trans. Intell. Transp. Syst., 2022)

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. - Ning Gao; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (CoRL, 2023)

Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. - Philipp Schillinger; Miroslav Gabriel; Alexander Kuss; Hanna Ziesche; Ngo Anh Vien (IROS, 2023)

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies. - Hanna Ziesche; Leonel Rozo (NeurIPS, 2023)

Uncertainty-driven Exploration Strategies for Online Grasp Learning. - Yitian Shi; Philipp Schillinger; Miroslav Gabriel; Alexander Kuss; Zohar Feldman; Hanna Ziesche; Ngo Anh Vien (CoRR, 2023)

SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. - Fabian Duffhauss; Sebastian Koch; Hanna Ziesche; Ngo Anh Vien; Gerhard Neumann (IEEE Robotics Autom. Lett., 2023)

Uncertainty-driven Exploration Strategies for Online Grasp Learning. - Yitian Shi; Philipp Schillinger; Miroslav Gabriel; Alexander Qualmann; Zohar Feldman; Hanna Ziesche; Ngo Anh Vien (ICRA, 2024)

The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. - Leonel Rozo; Andras G. Kupcsik; Philipp Schillinger; Meng Guo 002; Robert Krug 003; Niels van Duijkeren; Markus Spies; Patrick Kesper; Sabrina Hoppe; Hanna Ziesche; Mathias Bürger; Kai O. Arras (Robotics Comput. Integr. Manuf., 2024)