Robotic researcher at Leonardo Innovation Labs focussing on robotic manipulation, motion planning and tracking.

Research Fellow working on the development of reactive control algorithms, AI and learning-based strategies for the robotic dynamic manipulation of deformable objects contributing to the PRIN 2020 Project "Co-Mir: Extending Robotic Manipulation Capabilities by Cooperative Mobile and Flexible Multi-Robot Systems".Working on projects aimed at automating complex manufacturing phases for clients within the fashion industry, specifically focusing on bag and shoe production.

Teaching Assistant and Laboratory Tutor for the course of Fundamentals of Robotics - B.Sc.Main Topics:• Direct and inverse kinematics, trajectory planning, motion control, static, motion actuators and sensors.• Use of Matlab, Simulink (Robotics toolbox by Peter Corke) and CoppeliaSim to simulate robotic arms and design motion control.Highlights:• Obtained a score of 3.70/5 from the latest student evaluation, compared to the school average of 3.19/5.

Ph.D. student in Information Technology in the field of robotics, focusing on the robotic manipulation of linear deformable objects.Main competencies acquired:• Manipulation Planning• State estimation via force, tactile, and vision sensing • Simulation and dynamics modeling of nonlinear system• Optimization• Machine learningHighlights:• Contributed to the success of the PRIN 2020 project "Co-Mir" by actively drafting and writing, securing an 8th rank out of 223 applicants and substantial MUR funding for advancing robotic manipulation capabilities.• Showcased my research with two robotic demos at the BI-MU 2022 exhibition, highlighting its industrial applicability. • Presented papers as main author at ICRA23, IROS23, ROMAN22, ISM21, disseminating my research.• Co-supervised 12 master's theses on robotic manipulation. Offered critical input to implement and improve state-of-the-art techniques, and actively contributed to code development and review through VCS. This effort resulted in two prize-winning theses awarded by the UCIMU Foundation in 2023.• Coordinated and supervised a dedicated research fellow project for a year, enhancing contributions to the PRIN Co-Mir project.• Collaborated in the project centred on robotics for Industry 4.0 within the Joint Research Platform between Politecnico di Milano and Camozzi Automation, translating research technologies into real industrial applications.

Laboratory Tutor for the course of Fundamentals of Automation - B.sc.Main Topics:• Modelling of a thermal system based on experimental data and synthesis of controllers. • Use of Matlab and OpenModelica.

Research on the use of hybrid force-position control and Kalman filter-based estimations to enhance dual-arm manipulation of deformable linear objects by exploiting environmental contacts.

Collaborative Robotics for assembly operations