From System Architecture to Digital Twin: Accelerate Robotics with MBSE

Overview

Robotics is one of the fastest-growing fields in the engineering industry. Robots are already performing a wide range of tasks across various industries, and their role is expected to expand dramatically in the future. Each robot is a highly complex system that integrates numerous hardware and software components.

Ensuring the success of a robot’s full life cycle—from defining requirements to monitoring performance in operation—requires a Model-Based Systems Engineering (MBSE) approach. MBSE delivers efficiency, consistency, and interoperability while enabling collaboration and traceability throughout the entire development process.

As part of Synopsys, Ansys empowers designers and operators of robotic systems with powerful tools that support MBSE methodology step by step—from system requirement definition through to digital twin deployment.

In this webinar, we will guide you through creating system requirements and system architecture for robotics applications and demonstrate how to bridge system architecture to system-level simulation. You will see how to integrate high-fidelity models into system-level simulation using reduced-order modeling (ROM) technology, design and test embedded software, and analyze safety and cybersecurity risks with Ansys solutions. Finally, we will show how to generate and deploy a digital twin of a robot. 

What Attendees Will Learn

• Bridge system architecture to system-level simulation
• Perform system-level simulation with integrated reduced-order models, 0D/1D components, and control systems
• Define, design, and test embedded software while conducting safety and cybersecurity analyses
• Generate a digital twin and deploy it on the cloud, at the edge, or within NVIDIA Omniverse

Who Should Attend

• Robotics design engineers
• Robotics system engineers
• Robotics software and Safety engineers
• Robotics Enthusiasts 

Speaker

• Arash Hassenpour - Lead Application Engineer, Ansys