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Nicola Pellegrini

Associate Professor

University of Brescia
Country flagItaly

Research Interests

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About

Nicola Pellegrini is an Assistant Professor at the Università degli Studi di Brescia, Italy. His research areas include machine learning, robotics, and manufacturing processes, as evidenced by his recent articles on topics such as piezoelectric hysteresis modeling, robot placement, and human-robot interaction. Dr. Pellegrini's work also explores advancements in cobot applications and the selection of tasks for mini-parallel kinematic machines.

Articles (10)

Year:

2026

Year:

2025

This paper aims to investigate the impact of industrial robotics, examining the process integration in a sample of +600 companies located in the Province of Brescia, an intensive industrial area in the North of Italy. Through a detailed economic investigation, this study analyses the adoption of robotic solutions in companies of varying sizes, using a survey and financial databases to investigate the most used types of robots, their applications, the impacts at the operational and personnel level, and the companies’ growth (sales, employees, other). The results highlight a significant presence of robotic solutions, particularly articulated robots, in the large companies involved. Robotics diffusion positively correlates with significant improvements in terms of productivity and quality. The introduction of robots is associated with increased corporate growth indicators, including staff expansion. Large companies demonstrate a superior ability to adapt to these technologies, supported by more significant financial resources and a wide range of internal competencies for managing robots. Furthermore, large companies proactively hire qualified personnel or initiate internal training courses. Small and medium-sized enterprises (SMEs), although currently less equipped with robotic technologies, exhibit a significant interest in future adoption, highlighting the opportunity for growth and innovation. The results suggest that integrating robotics in the manufacturing sector not only constitutes an effective means to enhance operational performance but also acts as a catalyst for developing human capital and strengthening the local economy.

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (4)

Alberto Borboni

University of Brescia

ITALY
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Giuseppe Carbone

Associate Professor

University of Calabria

ITALY
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Francesco Aggogeri

Researcher

University of Brescia

ITALY
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Claudio Taesi

University of Brescia

ITALY
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