Abstract

Mobile articulated gripper arms are revolutionizing a range of fields, from additive manufacturing and packaging to automated assembly lines and surgical robotics. These innovations underscore the crucial role of simulation in design and development. Digital Twins are integral to this process, ensuring robustness, performance optimization, real-time monitoring and control, and adherence to industry standards. Preparing students for successful careers to develop such innovative engi-neering solutions leveraging state-of-the-art methods and approaches is of high importance. In this work, we demonstrate how Project-Based Learning (PBL) for such complex engineering tasks can be significantly enhanced and accelerated using MATLAB® and Simscape™ Multi-body™. The results of this project clearly show that stu-dents can deliver high-end, robust solutions to complex engineering tasks, allowing them to efficiently familiarize themselves with advanced engineering topics by leveraging industry-mature modeling, simulation, test, and deployment ecosystems provided by MathWorks®.