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Markus Leitner

2 accepted papers

2021

Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation

IROS 2021poster

Object models are highly useful for robots as they enable tasks such as detection, pose estimation and manipulation. However, models are not always easily available, especially in real-world domains of operation such as peoples’ homes. This work presents a pipeline to generate high-quality object re…

Cited by 12SourceScholar
2021

PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift

ICRA 2021poster

Object pose estimation enables robots to understand and interact with their environments. Training with synthetic data is necessary in order to adapt to novel situations. Unfortunately, pose estimation under domain shift, i.e., training on synthetic data and testing in the real world, is challenging…

Cited by 28SourcecodeScholar