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Andreas Eitel

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   080-023

eitel _at_ cs [dot] uni-freiburg [dot] de
Phone:   +49 761 203-8024

About me

Research Interests

  • Object Recognition and Detection
  • Deep Neural Networks
  • Robotics Perception
  • Robot Manipulation


  • *NEW* The Freiburg Groceries Dataset *NEW*
    Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard
    arXiv CoRR, 2016
    Preprint BibTeX Dataset
  • Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments *NEW*
    Oier Mees, Andreas Eitel, Wolfram Burgard
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Deajeon, South Korea, 2016
    Download BibTeX Project Page Dataset
  • Multimodal Deep Learning for Robust RGB-D Object Recognition
    Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, Martin Riedmiller, Wolfram Burgard
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015
    Download arXiv BibTeX Code

Current Research Projects

  • ALROMA- Autonomous Active Object Learning Through Robot Manipulation

Students (Co-)Supervised

  • People Detection in RGB-D Data Using a Mixture of Deep Network Experts. 2015, Master's Project, Oier Mees (together with Luciano) Project page
  • Hand Orientation Estimation Using Deep Neural Networks. 2015, Bachelor's Thesis, Lukas Hermann
  • Body Part Segmentation using Fully Convolutional Neural Networks. 2015, Bachelor's Thesis, Claas Bollen (together with Daniel and Gabriel)
  • Strategien für das Platzieren von Objekten auf der Basis einer Formklassifikation. 2015, Bachelor's Thesis, Nico Hauff (together with Christian)
  • 3D Object Recognition for Conveyor Systems 2016, Bachelor's Thesis, David Luibrand (at Sick AG )
  • End-to-End Distance Metric Learning for Spatial Relations of Objects 2016, Bachelor's Thesis, Philipp Jund (together with Nichola and Tobias Springenberg)
  • Real-Time People Perception for a Mobile Hospital Robot 2017, Master's Thesis, Andres Vasquez (together with Marina)


  • November 2016: I will co-organize the Deep Learning lab course with a focus on reinforcement learning for robotics, together with Jingwei and Tobi.
  • November 2016: We made the Freiburg Groceries Dataset publicly available and published the corresponding article on arXiv.
  • July 2016: Our work on adaptive sensor fusion for object detection got accepted for IROS'2016.
  • Dezember 2015: Our work on RGB-D object recognition has been featured on CIO.com.
  • July 2015: Our paper about RGB-D object recognition using deep convolutional neural networks got accepted for IROS'2015.
  • November 2014: I will co-organize the new seminar Robot Learning which aims to combine the field of Robotics and Machine Learning, together with Wolfram, Nichola and Ayush.
  • October 2014: I wil co-organize the lecture Robot Mapping together with Wolfram, Diego, Luciano and Mladen.