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Riccardo Polvara

4 accepted papers

2026

Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments

ICRA 2026poster

Robust robot navigation in outdoor environments requires accurate perception systems capable of handling visual challenges such as repetitive structures and changing appearances. Visual feature matching is crucial to vision-based pipelines but remains particularly challenging in natural outdoor sett…

2025

Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments

RA-L 2025

Robust robot navigation in outdoor environments requires accurate perception systems capable of handling visual challenges such as repetitive structures and changing appearances. Visual feature matching is crucial to vision-based pipelines but remains particularly challenging in natural outdoor sett

Cited by 3SourceScholar
2021

Navigate-and-Seek: A Robotics Framework for People Localization in Agricultural Environments

RA-L 2021

The agricultural domain offers a working environment where many human laborers are nowadays employed to maintain or harvest crops, with huge potential for productivity gains through the introduction of robotic automation. Detecting and localizing humans reliably and accurately in such an environment

Cited by 13SourceScholar
2020

Next-Best-Sense: A Multi-Criteria Robotic Exploration Strategy for RFID Tags Discovery

RA-L 2020

Automated exploration is one of the most relevant applications for autonomous robots. In this letter, we propose a novel online coverage algorithm called Next-Best-Sense (NBS), an extension of the Next-Best-View class of exploration algorithms which optimizes the exploration task balancing multiple

Cited by 8SourcecodeScholar