A Portable da Vinci Simulator in Virtual Reality. - Marco Ferro; Damiano Brunori; Federico Magistri; Lorenzo Saiella; Mario Selvaggio; Giuseppe Andrea Fontanelli (IRC, 2019)

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping. - Federico Magistri; Nived Chebrolu; Cyrill Stachniss (IROS, 2020)

Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. - Carlos Carbone; Dario Albani; Federico Magistri; Dimitri Ognibene; Cyrill Stachniss; Gert Kootstra; Daniele Nardi; Vito Trianni (DARS, 2021)

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. - Felix Stache; Jonas Westheider; Federico Magistri; Marija Popovic; Cyrill Stachniss (ECMR, 2021)

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. - Federico Magistri; Nived Chebrolu; Jens Behley; Cyrill Stachniss (ICRA, 2021)

Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. - Elias Marks; Federico Magistri; Cyrill Stachniss (ICRA, 2022)

Informative Path Planning for Active Learning in Aerial Semantic Mapping. - Julius Rückin; Liren Jin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IROS, 2022)

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. - Jan Weyler; Federico Magistri; Peter Seitz 004; Jens Behley; Cyrill Stachniss (WACV, 2022)

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. - Federico Magistri; Elias Marks; Sumanth Nagulavancha; Ignacio Vizzo; Thomas Läbe; Jens Behley; Michael Halstead; Chris McCool; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Target-Aware Implicit Mapping for Agricultural Crop Inspection. - Shane Kelly; Alessandro Riccardi; Elias Marks; Federico Magistri; Tiziano Guadagnino; Margarita Chli; Cyrill Stachniss (ICRA, 2023)

Fruit Tracking Over Time Using High-Precision Point Clouds. - Alessandro Riccardi; Shane Kelly; Elias Marks; Federico Magistri; Tiziano Guadagnino; Jens Behley; Maren Bennewitz; Cyrill Stachniss (ICRA, 2023)

On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics. - Gianmarco Roggiolani; Federico Magistri; Tiziano Guadagnino; Jan Weyler; Giorgio Grisetti; Cyrill Stachniss; Jens Behley (ICRA, 2023)

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. - Gianmarco Roggiolani; Matteo Sodano; Tiziano Guadagnino; Federico Magistri; Jens Behley; Cyrill Stachniss (ICRA, 2023)

Robust Double-Encoder Network for RGB-D Panoptic Segmentation. - Matteo Sodano; Federico Magistri; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (ICRA, 2023)

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. - Yue Pan; Federico Magistri; Thomas Läbe; Elias Marks; Claus Smitt; Chris McCool; Jens Behley; Cyrill Stachniss (IROS, 2023)

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions. - Elias Marks; Jonas Bömer; Federico Magistri; Anurag Sag; Jens Behley; Cyrill Stachniss (CoRR, 2023)

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. - Elias Marks; Matteo Sodano; Federico Magistri; Louis Wiesmann; Dhagash Desai; Rodrigo Marcuzzi; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Adaptive path planning for UAVs for multi-resolution semantic segmentation. - Felix Stache; Jonas Westheider; Federico Magistri; Cyrill Stachniss; Marija Popovic (Robotics Auton. Syst., 2023)

Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. - Jan Weyler; Thomas Läbe; Federico Magistri; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. - Federico Magistri; Jan Weyler; Dario Gogoll; Philipp Lottes; Jens Behley; Nik Petrinic; Cyrill Stachniss (Comput. Electron. Agric., 2023)

Unsupervised Pre-Training for 3D Leaf Instance Segmentation. - Gianmarco Roggiolani; Federico Magistri; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Trans. Robotics, 2023)

Open-World Semantic Segmentation Including Class Similarity. - Matteo Sodano; Federico Magistri; Lucas Nunes; Jens Behley; Cyrill Stachniss (CVPR, 2024)

Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. - Federico Magistri; Rodrigo Marcuzzi; Elias Marks; Matteo Sodano; Jens Behley; Cyrill Stachniss (ICRA, 2024)

BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions. - Elias Marks; Jonas Bömer; Federico Magistri; Anurag Sag; Jens Behley; Cyrill Stachniss (IROS, 2024)

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. - Federico Magistri; Thomas Läbe; Elias Marks; Sumanth Nagulavancha; Yue Pan; Claus Smitt; Lasse Klingbeil; Michael Halstead; Heiner Kuhlmann; Chris McCool; Jens Behley; Cyrill Stachniss (CoRR, 2024)

Active Learning of Robot Vision Using Adaptive Path Planning. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (CoRR, 2024)

AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. - Arun Narenthiran Sivakumar; Federico Magistri; Mateus Valverde Gasparino; Jens Behley; Cyrill Stachniss; Girish Chowdhary 001 (CoRR, 2024)

Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Point Clouds. - Daniel Fusaro; Federico Magistri; Jens Behley; Alberto Pretto; Cyrill Stachniss (CoRR, 2024)

Open-World Panoptic Segmentation. - Matteo Sodano; Federico Magistri; Jens Behley; Cyrill Stachniss (CoRR, 2024)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Robotics Autom. Lett., 2024)

Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. - Federico Magistri; Yue Pan; Jake Bartels; Jens Behley; Cyrill Stachniss; Chris Lehnert (IEEE Robotics Autom. Lett., 2024)

Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning. - Apoorva Vashisth; Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Robotics Autom. Lett., 2024)

PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. - Jan Weyler; Federico Magistri; Elias Marks; Yue Linn Chong; Matteo Sodano; Gianmarco Roggiolani; Nived Chebrolu; Cyrill Stachniss; Jens Behley (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

High-throughput 3D shape completion of potato tubers on a harvester. - Pieter M. Blok; Federico Magistri; Cyrill Stachniss; Haozhou Wang; James Burridge; Wei Guo 002 (Comput. Electron. Agric., 2025)

3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors. - Matteo Sodano; Federico Magistri; Elias Marks; Fares Hosn; Aibek Zurbayev; Rodrigo Marcuzzi; Meher V. R. Malladi; Jens Behley; Cyrill Stachniss (CoRR, 2025)

Spatio-Temporal Consistent Semantic Mapping for Robotics Fruit Growth Monitoring. - Luca Lobefaro; Matteo Sodano; Daniel Fusaro; Federico Magistri; Meher V. R. Malladi; Tiziano Guadagnino; Alberto Pretto; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)