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09/21/2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning
Existing grasp prediction approaches are mostly based on offline learnin...
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07/31/2023
Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking
This paper presents a novel method for model-free prediction of grasp po...
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07/01/2023
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation
Detecting objects and estimating their 6D poses is essential for automat...
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05/17/2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Robots often rely on a repertoire of previously-learned motion policies ...
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04/20/2023
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
Robotic manipulation is currently undergoing a profound paradigm shift d...
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10/18/2022
Deep Black-Box Reinforcement Learning with Movement Primitives
-based reinforcement learning (ERL) algorithms treat reinforcement learn...
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09/22/2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
Sensor fusion can significantly improve the performance of many computer...
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03/09/2022
What Matters For Meta-Learning Vision Regression Tasks?
Meta-learning is widely used in few-shot classification and function reg...
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11/02/2021
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives
Many possible fields of application of robots in real world settings hin...
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06/08/2021
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
While classic control theory offers state of the art solutions in many p...
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12/15/2020
