Lorenzo Ferrini

Lorenzo Ferrini

Robotics Engineer @ Seervision

About Lorenzo Ferrini

Lorenzo Ferrini is a Robotics Engineer with extensive international experience, including roles at NASA and Seervision AG. He holds a Master's degree in Robotics Engineering and has a strong background in mechanical and robotics engineering, focusing on autonomous systems.

Work at Seervision

Lorenzo Ferrini has been employed at Seervision AG as a Robotics Engineer since 2021. His role involves applying his expertise in robotics to develop innovative solutions within the company. Seervision AG focuses on advanced robotics technology, and Ferrini's contributions are integral to the advancement of their projects.

Education and Expertise

Lorenzo Ferrini holds a Master of Science in Robotics Engineering from Università di Pisa, which he completed from 2019 to 2021. He also studied at Scuola Superiore Sant'Anna, where he was recognized as an Honor student in Robotics Engineering from 2015 to 2021. Additionally, he earned a Bachelor's degree in Mechanical Engineering from Università di Pisa from 2015 to 2019. His educational background provides him with a solid foundation in both mechanical and robotics engineering.

Background

Lorenzo Ferrini has international work experience, having worked in Switzerland, Italy, and the United States. His career includes positions at notable institutions such as NASA Jet Propulsion Laboratory, where he served as a Visiting Research Student in 2019, and at The BioRobotics Team as a Control Engineer from 2019 to 2020. He also completed a Master Thesis at the University of Zurich from 2020 to 2021.

Achievements in Robotics Engineering

Lorenzo Ferrini has contributed to the development of autonomous systems, with a particular focus on control and navigation. His experience spans both academic research and industry application, allowing him to approach robotics engineering challenges with a comprehensive perspective. His work in various roles has equipped him with practical skills and theoretical knowledge essential for advancing robotics technology.

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