Andrea Arlotta – Robotics & Autonomous Systems

Robotics Researcher

Robotics & Autonomous Systems,
Royal Military Academy

Address

Avenue De La Renaissance 30, 1000 Brussels, Belgium

Contact Information

Call: –

Andrea Arlotta is a robotics researcher at the Robotics & Autonomous Systems unit of the Department of Mechanics of the Belgian Royal Military Academy, where he focuses on perception, informative path planning, and multi-robot systems for real-world field robotics.

He earned a National Ph.D. in Artificial Intelligence (Agrifood & Environment) from the University of Naples Federico II (https://www.phd-ai.it/ ), with a dissertation on “Smart Vehicles for Active Monitoring in Precision Agriculture Settings.”

Andrea holds an M.Sc. in Robotics Engineering from the University of Genoa, where his thesis delivered an autonomous robot for weeding in rice cultivation; earlier, he completed a B.S. in Biomedical Engineering with a thesis on presence andcybersickness in VR.

Beyond academia, Andrea bridges research and industry: he developed HMI interfaces at ALTEN/IMA T&T, worked as a robotics engineer at Vitibot and Arvatec on precision-agriculture robots, and built avionics-grade microcontroller software at Brancaro Industries.

Publications

2023

A. Arlotta, M. Lippi, and A. Gasparri, “A ROS-based Architecture for Object Detection and Relative Localization for a Mobile Robot with an Application to a Precision Farming Scenario," in 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, pp. 131-136.
[BibTeX] [DOI]

@INPROCEEDINGS{10185904,
author={Arlotta, Andrea and Lippi, Martina and Gasparri, Andrea},
booktitle={2023 31st Mediterranean Conference on Control and Automation (MED)},
title={A ROS-based Architecture for Object Detection and Relative Localization for a Mobile Robot with an Application to a Precision Farming Scenario},
year={2023},
volume={},
number={},
pages={131-136},
keywords={Location awareness;Robot motion;Target tracking;Robot vision systems;Computer architecture;Object detection;Cameras},
doi={10.1109/MED59994.2023.10185904}
}

A. Arlotta, M. Lippi, and A. Gasparri, “An EKF-Based Multi-Object Tracking Framework for a Mobile Robot in a Precision Agriculture Scenario," in 2023 European Conference on Mobile Robots (ECMR), 2023, pp. 1-6.
[BibTeX] [DOI]

@INPROCEEDINGS{10256338,
author={Arlotta, Andrea and Lippi, Martina and Gasparri, Andrea},
booktitle={2023 European Conference on Mobile Robots (ECMR)},
title={An EKF-Based Multi-Object Tracking Framework for a Mobile Robot in a Precision Agriculture Scenario},
year={2023},
volume={},
number={},
pages={1-6},
keywords={Robot motion;Tracking;Robot vision systems;Pipelines;Cameras;Agriculture;Mobile robots},
doi={10.1109/ECMR59166.2023.10256338}
}