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07/03/2023
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly
Machine Learning (ML) models in Robotic Assembly Sequence Planning (RASP...
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03/23/2023
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
We present a novel technique to estimate the 6D pose of objects from sin...
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03/17/2023
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning
Automatic Robotic Assembly Sequence Planning (RASP) can significantly im...
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09/27/2021
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks
This work focuses on improving uncertainty estimation in the field of ob...
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09/23/2021
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning
Learning from synthetic data is popular in a variety of robotic vision t...
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03/11/2021
Unknown Object Segmentation from Stereo Images
Although instance-aware perception is a key prerequisite for many autono...
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11/06/2020
"What's This?" – Learning to Segment Unknown Objects from Manipulation Sequences
We present a novel framework for self-supervised grasped object segmenta...
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02/11/2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
We present a novel technique to automatically generate annotated data fo...
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08/01/2019
Multi-path Learning for Object Pose Estimation Across Domains
We introduce a scalable approach for object pose estimation trained on s...
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02/04/2019