Alessandro Riccardi — accepted AI-conference papers

2023

Field Model Identification and Control of a Mobile Electromagnet for Remote Actuation of Soft Robots

Alessandro Riccardi, Guilherme Phillips Furtado, Jakub Sikorski, Marilena Vendittelli, Sarthak Misra

RA-L 2023

The actuation of miniaturized robots through external magnetic fields has great potential for medical applications. The controllability properties of the miniaturized robots are affected by magnetic field generation modality. In this work, the magnetic field of a mobile electromagnet, notably capabl

Cited by 2 Source ↗Scholar ↗

2023

Fruit Tracking Over Time Using High-Precision Point Clouds

Alessandro Riccardi, Shane Kelly, Elias Marks, Federico Magistri, Tiziano Guadagnino, Jens Behley +2

ICRA 2023poster

Monitoring the traits of plants and fruits is a fundamental task in horticulture. With accurate measurements, farmers can predict the yield of their crops and use this information for making informed management decisions, and breeders can use it for variety selection. Agricultural robotic applicatio…

Cited by 9 Source ↗Scholar ↗

2023

Target-Aware Implicit Mapping for Agricultural Crop Inspection

Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli +1

ICRA 2023poster

Crop inspection is a critical part of modern agricultural practices that helps farmers assess the current status of a field and then make crop management decisions. Current crop inspection methods are labour-intensive tasks, which makes them rather slow and expensive to apply. In this paper, we expl…

Cited by 14 Source ↗Scholar ↗