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Marius Moosmann

2 accepted papers

2022

Transfer Learning for Machine Learning-based Detection and Separation of Entanglements in Bin-Picking Applications

IROS 2022poster

In this paper, we present a Domain Randomization and a Domain Adaptation approach to transfer experience for entanglement detection and separation from simulation into a real-world bin-picking application. We investigate the influence of different randomization options in image processing and use a…

Cited by 8SourceScholar
2020

Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes

IROS 2020poster

In this paper, we introduce a novel learning-based approach for grasping known rigid objects in highly cluttered scenes and precisely placing them based on depth images. Our Placement Quality Network (PQ-Net) estimates the object pose and the quality for each automatically generated grasp pose for m…

Cited by 22SourceScholar