Faculty Teaching Award of the Faculty of Engineering, Freiburg Univ.Requires Xbox Game Pass Ultimate subscription and supported game may require supported controller (all sold separately).ICRA 2015 - Finalist Best Service Robotics paper (2015) for: Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences.ICRA 2017 - Best Automation Paper Award by the IEEE Robotics and Automation Society (2017) for: UAV-Based Crop and Weed Classification for Smart Farming.IROS 2017 - Best Application Paper Finalist (2017) for: Semi-Supervised Online Visual Crop and Weed Classification in Precision Farming Exploiting Plant Arrangement.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.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).
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Bogoslavskyi’s work: General Framework for Flexible Multi-cue Photometric Point Cloud Registration RSS 2020 - Best Systems Paper Finalist (2020) for: OverlapNet – Loop Closing for LiDAR-based SLAM.IROS 2020 - Best Agri-Robotics Paper Award (2020) for: Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots.Chebrolu’s work: Adaptive Robust Kernels for Non-Linear Least Squares Problems ICCV 2021 - Best Result on the Segmenting and Tracking Every Point and Pixel Workshop at ICCV 2021 for: Contrastive Instance Association for 4D Panoptic Segmentation.ICRA 2022 - ICRA Outstanding Automation Paper Award (2022) for: Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching.RAM 2022 - IEEE Robotics \& Automation Magazine Best Paper Award for 2021 for: Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution.He has coauthored over 230 peer-reviewed publications. Central areas of his research are solutions to the simultaneous localization and mapping problem, visual perception, robot learning, self-driving cars, agricultural robotics, and unmanned aerial vehicles. In his research, he focuses on probabilistic techniques in the context of mobile robotics, navigation, and perception.
He was furthermore involved in the coordination of several EC-funded FP7 and H2020 projects. He is the spokesperson of the DFG Cluster of Excellence EXC 2070 ”PhenoRob – Robotics and Phenotyping for Sustainable Crop Production” and of the DFG Research Unit FOR 1505 ”Mapping on Demand”. Since 2015, he is a senior editor for the IEEE Robotics and Automation Letters. From 2008-2013, he was an associate editor of the IEEE Transactions on Robotics, since 2010 a Microsoft Research Faculty Fellow, and received the IEEE RAS Early Career Award in 2013. thesis entitled “Exploration and Mapping with Mobile Robots” supervised by Wolfram Burgard at the University of Freiburg in 2006. Cyrill Stachniss finished his habilitation in 2009 and received his Ph.D. Before working in Bonn, he was a lecturer at the University of Freiburg in Germany, a guest lecturer at the University of Zaragoza in Spain, and a senior researcher at the Swiss Federal Institute of Technology in the group of Roland Siegwart. He is additionally a Visiting Professor in Engineering at the University of Oxford.
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Cyrill Stachniss is a Full Professor at the University of Bonn and heads the lab for Photogrammetry and Robotics.
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