Facilities, Computing and Software

Computing, visualization, robotics and simulation resources for digital twin development.

The lab combines GPU computing, mobile workstations, large-format displays, robotic platforms and immersive technology.

Facilities Overview

The lab is designed as a flexible environment where users can move between modeling, simulation, data analysis, visualization and physical-system evaluation.

Computing Infrastructure 

The lab is equipped with two GPU-enabled Dell servers and 20 Alienware laptops. Together, these systems provide the computing capacity needed to develop, simulate, train and evaluate data-intensive digital twin and AI applications.

The mobile workstation layout supports individual work, small-group collaboration, demonstrations and reconfiguration for project-based courses and research activities.

Installed Software 

• NVIDIA Omniverse Kit SDK v110.1.2
• USD Composer, built with Kit SDK v110.1.2
• NVIDIA Isaac Sim v6.0.1

Robotics and Immersive Systems

The lab includes robotic platforms, collaborative robotic arms, cameras, virtual-reality equipment, and large displays that allow users to compare physical systems with their simulated counterparts. These resources support simulation-first development, human-in-the-loop studies, perception research and sim-to-real evaluation.

Core Capabilities

• Interactive 3D modeling and visualization using USD-based workflows.
• GPU-accelerated simulation for robotics and physical AI.
• Synthetic image, depth, and segmentation data generation.
• Development of data pipelines that connect physical and virtual systems.
• Collaborative review of simulations, experiments and project demonstrations.

Page Highlights