About us

Bin-Picking at Fraunhofer IPA


Our Bin-Picking solution

We provide solutions for the singulation of chaotically stored objects.


Deep Grasping

Our research project »Deep Grasping« aims to increase the autonomy and performance of bin-picking solutions using deep learning and simulation.


Kilian Kleeberger and Marco F. Huber, "Single Shot 6D Object Pose Estimation," in IEEE International Conference on Robotics and Automation (ICRA), Palais des Congrès de Paris, France, 2020. ArXiv


Kilian Kleeberger, Christian Landgraf, and Marco F. Huber, "Large-Scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), The Venetian Macao, Macau, China, 2019. ArXiv


Mohamed El-Shamouty, Kilian Kleeberger, Arik Lämmle, and Marco Huber, "Simulation-driven machine learning for robotics and automation," tm – Technisches Messen, vol. 86, no. 11, pp. 673–684, 2019.