Hanna Carolin Ziesche

According to our database, Hanna Carolin Ziesche authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing.

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 Oliver Arras

Robotics Comput. Integr. Manuf., February, 2024

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., September, 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

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies.

Hanna Ziesche, Leonel Rozo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects.

Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2023

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

Category-Agnostic 6D Pose Estimation with Conditional Neural Processes.

Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann

CoRR, 2022

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects.

Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

CoRR, 2022

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives.

Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion.

Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

Proceedings of the Computer Vision - ECCV 2022, 2022

What Matters For Meta-Learning Vision Regression Tasks?

Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Black-Box Reinforcement Learning with Movement Primitives.

Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

2021

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty.

Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Differentiable Trust Region Layers for Deep Reinforcement Learning.

Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann

Proceedings of the 9th International Conference on Learning Representations, 2021