Algoryx | Digital Machine Twins

Create and simulate physics-based full-system models of robots, machines, and vehicles

ENGINEERING CHALLENGE

Your Models Describe Geometries, but They Can’t Predict Full Machine Performance

Virtual engineering workflows have the potential to transform machine development by enabling earlier insight, better collaboration, and a viable path to full machine autonomy.

But in many companies, engineers are constrained by digital models that are too limited and too fragmented to represent full-system behaviour in realistic operating conditions.

As a result, development continues to depend on slow, hardware-bound feedback loops.

ALGORYX’S SOLUTION

Create Digital Machine Twins That Behave Like Real Machines

Turn CAD files into dynamic digital twins

With Algoryx’s software tools you can create a digital machine twin that represents your machine as a complete, dynamic physical system. Import CAD geometries, add physical properties and subsystems.

Iterate, collaborate and evolve

An Algoryx-based digital machine twin is not a static model – it can be calibrated against real machines, refined as designs evolve, and reused across teams and development phases.

Put machines to work in realistic scenarios

Realistic machine-environment interaction is the key to getting value from simulated work scenarios. Algoryx’s software lets you analyze how machine behaviour emerges in any work scenario.

Unlock simulation-based workflows

An Algoryx-based digital twin of your machine is the foundation that makes simulation useful at scale. Once it’s set up, it becomes a strategic asset that enables many different engineering workflows and applications.

DEMO VIDEO

Simulated Digital Twins in Action

KEY FEATURES

The Technologies that Differentiate Algoryx’s Digital Twin Software

Full-System Machine Dynamics

Algoryx’s software excels at simulating machines as integrated physical systems. Our core physics engine AGX Dynamics is the world’s most sophisticated and high-performing technology for simulating mechanical systems in real time.

Terrain Interaction and Dynamic Materials

Algoryx’s software supports simulation of interaction with terrain and materials such as soil, gravel, and bulk media – allowing resistance, deformation, and load transfer to influence machine behaviour in a physically realistic way.

A Physics-Based, Extendable Modeling Format

Digital machine twins based on Algoryx’s OpenPLX format are built to be extended and maintained over time. As designs change or new questions arise, the same underlying model can be refined and reused, rather than rebuilt from scratch.

RELATED USE CASES

Sensor Simulation

Understand sensor behaviour in realistic simulated work scenarios.

Control System Development

Develop and test high-level planning and low-level control systems in simulation

FAQ

Frequently Asked Questions About Digital Twins

What is Algoryx’s definition of a digital twin?

We define a digital machine twin as a full-system, physics-based digital model of a machine, vehicle or robot. It represents the vital subsystems that combine to produce machine behavior, such as mechanics, actuation, controls, sensors, tires, tracks, tools and interaction with terrain or materials.

Our focus is not primarily on continuously feeding live field data into the model. Instead, Algoryx digital twins are used to simulate, test and validate how machines behave in realistic operating scenarios.

A prime use case of a digital machine twin is to connect control systems to the digital twin in order to develop and validate controller functionality, performance and safety.

What is the process for creating a physics-enabled digital twin?

A CAD model is usually the starting point, but it is not a digital twin in itself.

To create a physics-enabled digital twin, the CAD geometry is converted into a simulation model with bodies, joints, constraints, actuators, collision shapes and material properties. The model is then connected to relevant subsystems such as hydraulics, electric drives, sensors, tires, tracks, tools or control software.

OpenPLX, Algoryx’s open model format for physics-based machine models, can be used to describe the machine and its subsystems in a structured and reusable way. This helps teams move from static CAD geometry to a system-level simulation model that can be connected, tested and maintained over time.

How can I validate that my digital machine twin accurately represents real-world machine performance?

The first step is to define what the digital twin needs to be right about.

For controller development, autonomy testing or performance evaluation, you compare simulated behavior with measured machine behavior in relevant scenarios. If the gap is too large, the model is calibrated using real machine data.

The most important validation work is often around the behaviors that are hardest to model: contact, friction, hydraulics, tool interaction, tires, tracks, terrain and materials.

The goal is not to simulate every detail of reality. The goal is to create a trusted model that is accurate enough for the engineering decisions it needs to support.

How can I import, export and integrate Algoryx-based digital twins with other popular engineering and simulation platforms?

Algoryx-based digital twins are built to connect with existing engineering workflows.

They can be created from CAD and engineering data, described using OpenPLX, connected to control systems, and integrated with external tools through APIs, co-simulation, middleware or custom interfaces. OpenPLX is Algoryx’s open model format for defining physics-based machine models. It is especially relevant when teams need a more portable and maintainable way to work with machine models across tools, teams and simulation workflows.

Common integrations include controller development environments, robotics frameworks, operator training systems, sensor simulation tools and larger simulation platforms.

Ready to get in touch?

Contact our sales team and book a discovery call to explore how Algoryx can help you achieve engineering success.

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