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ORCIDHanna Carolin Ziesche
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2020 – today
- 2024
[j3]Leonel Rozo
, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. Robotics Comput. Integr. Manuf. 85: 102637 (2024)- [c10]Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien:
Uncertainty-driven Exploration Strategies for Online Grasp Learning. ICRA 2024: 781-787 - 2023
- [j2]Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. IEEE Robotics Autom. Lett. 8(9): 5315-5322 (2023) - [c9]Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRL 2023: 1572-1595 - [c8]Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien:
Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. IROS 2023: 3107-3113 - [c7]Hanna Ziesche, Leonel Rozo:
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies. NeurIPS 2023 - [i15]Leonel Rozo, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing. CoRR abs/2304.10595 (2023) - [i14]Hanna Ziesche, Leonel Rozo:
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies. CoRR abs/2305.10411 (2023) - [i13]Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. CoRR abs/2307.00306 (2023) - [i12]Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien:
Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. CoRR abs/2307.16488 (2023) - [i11]Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRR abs/2308.16528 (2023) - [i10]Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien:
Uncertainty-driven Exploration Strategies for Online Grasp Learning. CoRR abs/2309.12038 (2023) - 2022
- [j1]Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser:
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. IEEE Trans. Intell. Transp. Syst. 23(9): 14922-14937 (2022) - [c6]Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL 2022: 1244-1265 - [c5]Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann:
What Matters For Meta-Learning Vision Regression Tasks? CVPR 2022: 14756-14766 - [c4]Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. ECCV (39) 2022: 674-691 - [c3]Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro:
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA 2022: 6365-6371 - [i9]Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann:
What Matters For Meta-Learning Vision Regression Tasks? CoRR abs/2203.04905 (2022) - [i8]Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. CoRR abs/2205.11110 (2022) - [i7]Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann:
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes. CoRR abs/2206.07162 (2022) - [i6]Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann:
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. CoRR abs/2209.11277 (2022) - [i5]Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR abs/2210.09622 (2022) - 2021
- [c2]Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann:
Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR 2021 - [c1]Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann:
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS 2021: 2383-2390 - [i4]Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann:
Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR abs/2101.09207 (2021) - [i3]Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann:
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR abs/2106.04306 (2021) - [i2]Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro:
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. CoRR abs/2111.01510 (2021) - 2020
- [i1]Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser:
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. CoRR abs/2012.08418 (2020)
Coauthor Index
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