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Cyrill Stachniss


Cyrill Stachniss Dr. rer. nat. Dipl.-Inf.

Visiting Professor

Full Professor of Photogrammetry and Robotics and Spokesperson of the DFG Cluster of Excellence 'PhenoRob' (Bonn)


Cyrill Stachniss is a full professor at the University of Bonn and heads the Photogrammetry and Robotics Lab. He is additionally a Visiting Professor in Engineering at the University of Oxford. Before his appointment in Bonn, he was with the University of Freiburg and the Swiss Federal Institute of Technology (ETH Zurich).

Since 2010, he has been a Microsoft Research Faculty Fellow and received the IEEE RAS Early Career Award in 2013. From 2015 to 2019, he was senior editor for the IEEE Robotics and Automation Letters. He is the spokesperson of the DFG Cluster of Excellence "PhenoRob" at the University of Bonn, together with his colleague Heiner Kuhlmann. In his research, he focuses on probabilistic techniques for mobile robotics, perception, and navigation.

The main application areas of his research are autonomous service robots, agricultural robotics, and self-driving cars. He has co-authored over 250 publications and has coordinated multiple large research projects on the national and European levels.

Awards and Prizes

  • ICCV 2021 Workshop - Best Result on the Segmenting and Tracking Every Point and Pixel Workshop at ICCV 2021 for Contrastive Instance Association for 4D Panoptic Segmentation 
  • Faculty Award 2021 for Geodesy for N. Chebrolu’s work: Adaptive Robust Kernels for Non-Linear Least Squares Problems 
  • IROS 2020 — Best Agri-Robotics Paper Award (2020) for: Unsupervised Domain Adaptation for transferring Plant Classification Systems to New Field Environments, Crops, and Robots 
  • RSS 2020 — Best Systems Paper Finalist (2020) for: OverlapNet – Loop Closing for LiDAR-based SLAM 
  • Faculty Award 2019 for Geodesy for I. Bogoslavskyi’s work: General Framework for Flexible Multi-cue Photometric Point Cloud Registration
  • ICRA 2018 Workshop — Best Demo Award at the ICRA 2018 Workshop on Multimodal Robot Perception: Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding (2018) 
  • ICRA 2018 — Best Service Paper Finalist (2018) for: Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNN 
  • IROS 2017 — Best Application Paper Finalist (2017) for: Semi-Supervised Online Visual Crop and Weed Classification in Precision Farming Exploiting Plant Arrangement 
  • ICRA 2017 — Best Automation Paper Award by the IEEE Robotics and Automation Society (2017) for: UAV-Based Crop and Weed Classification for Smart Farming 
  • ICRA 2015 — Finalist Best Service Robotics paper (2015) for: Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences 
  • Faculty Teaching Award of the Faculty of Engineering, Freiburg Univ. (Fakultätslehrpreis) (2012/2013)
  • IEEE Robotics and Automation Society Early Career Award (2013) for the contributions to mobile robot exploration and SLAM 
  • ICRA 2013 — Best Associate Editor Award (2013) 
  • ICRA 2013 — Finalist best student paper (2013) for: Robust Map Optimization Using Dynamic Covariance Scaling 
  • Robotics: Science and Systems Early Career Spotlight (2012) 
  • Microsoft Research Faculty Fellow (2010) 
  • 7th EURON Georges Giralt Award for the best robotics thesis in Europe in 2006 (received in 2008) 
  • Wolfgang-Gentner PhD Award (2006) for the PhD thesis Exploration and Mapping with Mobile Robots 
  • ICRA 2005
  • Finalist best student paper (2005) for the paper Supervised Learning of Places from Range Data using AdaBoost - ICASE-IROS 2004 
  • Best paper award on applications (2005) for the paper Grid-based FastSLAM and Exploration with Active Loop Closing
  • Award of the German Engineering Society, VDI (2003) for the master’s thesis

Research Interests

  • Agricultural robotics 
  • Autonomous cars 
  • Service robotics

Current Projects

  • DFG Cluster of Excellence EXC 2070 'PhenoRob' (Role: Spokesperson; Funding: DFG)
  • Harmony - Enhancing Healthcare with Assistive Robotic Mobile Manipulation (Role: PI; Funding: EC)
  • RegisTer - AI for Plant Train Analysis form UAVs (Role: PI; Funding: German Ministry of Agriculture)
  • Determining Plant Performance Indicators with Agricultural Robots (Role: PI; Funding: Industry BOSCH) 
  • DFG Research Unit FOR 1505 'Mapping on Demand' (Role: Spokesperson; Funding: DFG)
  • Flourish - Aerial Data Collection and Analysis, and Automated Ground Intervention for Precision Farming (Role: PI; Funding: EC)
  • RobDREAM -Optimising Robot Performance While Dreaming (Role: PI; Funding: EC) - EUROPA2 
  • European Robotic Pedestrian Assistant 2.0. (Role: PI; Funding: EC) - ROVINA - Mobile Robots for Exploration, Digital Preservation and Visualization of Archaeological Sites (Role: Coordinator; Funding: EC)