Systems and Technologies for Robotics in Agriculture

The objective of the project is to develop technologies and systems for agricultural robotics in order to enhance the competitiveness of the companies participating in the project. The project will involve the conception, design, and development of new components and prototypes of robotic machines and/or highly automated machinery.The project includes the development of robots capable of operating autonomously in the horticulture sector and in tree crop production, with particular emphasis on viticulture and hazelnut cultivation. In parallel, new perception systems will be developed and tested using high-resolution RGB, multispectral, and hyperspectral cameras.Particular attention will also be devoted to regulatory compliance and certification aspects (e.g., UNI/ISO standards, the Machinery Directive and Machinery Regulation), with a specific focus on the safe deployment and operation of autonomous machines in agricultural environments.

Selection process

Per Titoli e Colloquio. Il calendario dei colloqui viene pubblicato sull'Albo d'Ateneo ( https://webapps.unito.it/albo_ateneo/ ) e sul Portale di Ateneo ( https://lavorainateneo.unito.it/index_ir.html?type=SEL_IDR ). I candidati NON riceveranno comunicazione di ammissione al colloquio. La pubblicazione del calendario all'Albo Ufficiale dell'Ateneo equivale a notifica ai sensi di legge per la convocazione al colloquio. La domanda deve essere presentata tramite la procedura online https://pica.cineca.it/unito/agrovet-2026-iv - per informazioni: incarichiricerca@unito.it Mandatory requirement for admission to the selection: italian Laurea Magistrale, or Laurea a Ciclo Unico, or an equivalent degree from foreign Universities, obtained no more than 6 years prior to the application deadline (i.e obtained after 13/10/2020). The Call for Applications (published on the University Bulletin Board under ref. no. 4685 of 21/09/2026), containing the procedures to participate in the selection process and the specific requirements for each selection, is available at https://webapps.unito.it/albo_ateneo/ .

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