StachnissLab

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Research Interests

• Computer Vision
• Machine Learning
• Multi-Robot Systems
• Agricultural Robotics

Short CV

Federico Magistri is a Ph.D. student at the Photogrammetry Lab at the Rheinische Friedrich-Wilhelms-Universität Bonn since November 2019. He received his M.Sc. in Artificial Intelligence and Robotics from “La Sapienza” University of Rome with a thesis on Swarm Robotics for Precision Agriculture in collaboration with the National Research Council of Italy and the Wageningen University and Research. During his master, he spent one semester at the Albert-Ludwigs-Universität Freiburg as an Erasmus student.

Projects

• PhenoRob – Robotics and Phenotyping for Sustainable Crop Production (DFG Cluster of Excellence)
• SAGA – Swarm Robotics for Precision Agriculture (founded by the ECHORD++ project)

Teaching

• Master Project – Informative Path Planning in Precision Agriculture, Summer Semester 2020
• Master Project – Informative Path Planning in Precision Agriculture, Winter Semester 2020
• 3D Coordinate Systems – Winter Semester 2020

Publications

2021

• F. Magistri, N. Chebrolu, J. Behley, and C. Stachniss, “Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss,” in Proceedings of the ieee int. conf. on robotics & automation (icra), 2021.
  [BibTeX] [PDF]

  @inproceedings{magistri2021icra,
  author = {F. Magistri and N. Chebrolu and J. Behley and C. Stachniss},
  title = {{Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss}},
  booktitle = icra,
  year = 2021,
  }

• N. Chebrolu, F. Magistri, T. Läbe, and C. Stachniss, “Registration of Spatio-Temporal Point Clouds of Plants for Phenotyping,” Plos one, 2021.
  [BibTeX] [PDF]

  @article{chebrolu2021plosone,
  author = {N. Chebrolu and F. Magistri and T. L{\"a}be and C. Stachniss},
  title = {{Registration of Spatio-Temporal Point Clouds of Plants for Phenotyping}},
  journal = plosone,
  year = 2021,
  url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247243},
  }

• C. Carbone, D. Albani, F. Magistri, D. Ognibene, C. Stachniss, G. Kootstra, D. Nardi, and V. Trianni, “Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain,” in Proc. of the intl. symp. on distributed autonomous robotic systems (dars), 2021.
  [BibTeX] [PDF]

  @inproceedings{carbone2021dars,
  author = {C. Carbone and D. Albani and F. Magistri and D. Ognibene and C. Stachniss and G. Kootstra and D. Nardi and V. Trianni},
  title = {{Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain}},
  booktitle = dars,
  year = 2021,
  }

2020

• F. Magistri, N. Chebrolu, and C. Stachniss, “Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping,” in Proceedings of the ieee/rsj int. conf. on intelligent robots and systems (iros), 2020.
  [BibTeX] [PDF] [Video]

  @inproceedings{magistri2020iros,
  author = {F. Magistri and N. Chebrolu and C. Stachniss},
  title = {{Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping}},
  booktitle = iros,
  year = {2020},
  url={http://www.ipb.uni-bonn.de/pdfs/magistri2020iros.pdf},
  videourl = {https://youtu.be/OV39kb5Nqg8},
  }