← Search

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 8Source ↗Scholar ↗
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 22Source ↗Scholar ↗