Abstract

As industrial robotic systems grow in complexity, integrating the design process from requirements to validation becomes crucial. This work presents a Model-Based Systems Engineering (MBSE) approach for designing an industrial anthropomorphic robot, leveraging an integrated digital workflow within the Dassault Systèmes 3DEXPERIENCE platform.

The workflow spans from functional requirements management in CATIA Magic to 3D mechanical design in SOLIDWORKS, alongside kinematic behavior analysis. Structural validation was conducted using SIMULIA FEM tools within the 3DEXPERIENCE platform to identify high-stress areas under realistic operating conditions. To optimize performance, the most critical component was subjected to topology optimization, successfully reducing mass and improving stress distribution without compromising structural integrity.

Ultimately, this project highlights how the synergy between MBSE, CAD, and advanced simulation drives a more traceable, efficient and optimization-oriented development process for complex robotics.

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Speaker

Umberto Libero is a master’s student in Mechanical Engineering at the Polytechnic University of Turin, specializing in Automation, and will graduate in 2026. In 2024, he earned his Bachelor’s degree in Mechanical Engineering from the same university. Umberto is working on his master’s thesis in collaboration with Dassault Systèmes, focusing on the design and virtual development of an industrial anthropomorphic robot using the 3DEXPERIENCE platform. Throughout his academic career, Umberto has developed expertise in mechanical design, simulation, and industrial robotics, using software such as CATIA, 3DEXPERIENCE, SIMULIA Abaqus, SOLIDWORKS, and MATLAB. Umberto’s main interests include systems engineering, structural simulation, industrial automation, and digital development methodologies applied to the design of complex products.

@UL 
Master's Student, Politecnico di Torino