Mario Daniele Fiore
About Mario Daniele Fiore
Mario Daniele Fiore is a Software Engineer specializing in Robot Motion Control at Intrinsic, where he has worked since 2023 in Munich, Germany. He has a strong background in robotics, having previously held various positions at KUKA Robotics and earned advanced degrees in Information Engineering and Industrial Engineering.
Work at Intrinsic
Mario Daniele Fiore has been employed at Intrinsic since 2023, serving as a Software Engineer specializing in Robot Motion Control. His role involves developing and optimizing software solutions that enhance the performance and efficiency of robotic systems. He works from the company's location in Monaco di Baviera, Baviera, Germania, contributing to the advancement of robotic technologies.
Education and Expertise
Mario Daniele Fiore holds a Master's degree in Information Engineering with a focus on Automation and Robotics from Seconda Università degli Studi di Napoli, which he completed between 2013 and 2015. He furthered his education by obtaining a Doctor of Philosophy (PhD) in Ingegneria industriale e dell'Informazione from Università degli Studi della Campania Luigi Vanvitelli, where he studied from 2020 to 2023. His academic background provides a solid foundation for his expertise in robot motion control.
Background
Before joining Intrinsic, Mario Daniele Fiore accumulated extensive experience in the robotics field, primarily at KUKA Robotics. He started as a Master Thesis student from 2015 to 2016, followed by a position as a Werkstudent for two months in 2016. He then worked as a Research Engineer in Motion Control and Redundancy Resolution from 2016 to 2023, where he developed skills in motion control and redundancy resolution.
Internship Experience
Mario Daniele Fiore gained practical experience during an internship at KUKA Laboratories GmbH from 2014 to 2015. As a Developer in Path Planning and Inverse Kinematics, he contributed to projects that focused on improving robotic pathfinding and kinematic solutions. This role provided him with valuable insights into the complexities of robotic motion.