Hanna Carolin Ziesche

Orcid: 0000-0003-2042-3660

According to our database1, Hanna Carolin Ziesche authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing.
Robotics Comput. Integr. Manuf., February, 2024

Uncertainty-driven Exploration Strategies for Online Grasp Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation.
IEEE Robotics Autom. Lett., September, 2023

Uncertainty-driven Exploration Strategies for Online Grasp Learning.
CoRR, 2023

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies.
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.
IROS, 2023

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects.
Proceedings of the Conference on Robot Learning, 2023

2022
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features.
IEEE Trans. Intell. Transp. Syst., 2022

Category-Agnostic 6D Pose Estimation with Conditional Neural Processes.
CoRR, 2022

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects.
CoRR, 2022

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

What Matters For Meta-Learning Vision Regression Tasks?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Black-Box Reinforcement Learning with Movement Primitives.
Proceedings of the Conference on Robot Learning, 2022

2021
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Differentiable Trust Region Layers for Deep Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021


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