Our Technology Stack

React CAD leverages a powerful combination of established robotics standards and cutting-edge AI to revolutionize digital twin creation.

The URDF / SDF / ROS 2 Pipeline

Our structured approach builds robot models in logical layers, starting with basic structure and progressively adding detail and functionality.

URDF (Unified Robot Description Format)

The foundation of robot modeling, defining the basic structure of robots including links, joints, visual geometry, collision geometry, and inertial properties.

•Links: The physical bodies/parts of the robot

•Joints: Connections between links (revolute, prismatic, fixed, etc.)

•Visual Geometry: The appearance of robot parts

•Collision Geometry: Simplified shapes for collision detection

•Inertial Properties: Mass, center of mass, inertia tensors

SDF (Simulation Description Format)

Extends URDF with richer physics properties and advanced capabilities for more complex simulations and real-world modeling.

•Physics: Enhanced physics modeling for realistic simulations

•Sensors: Cameras, IMUs, LiDARs, and other sensor configurations

•Plugins: Custom functionality extensions

•Lights: Light sources for visual rendering

•Materials: Advanced material properties

•Model Nesting: Embedding models within other models

ROS 2 Integration Layer

Bridges the gap between digital models and functional robotic systems, creating deployable code for the Robot Operating System 2 framework.

•Package Structure: Organized ROS 2 package generation

•Controllers: Configuration for ros2_control and other control systems

•Launch Files: Automated generation of launch configurations

•TF2: Static transform configurations for coordinate frame relationships

•Integration: Seamless connection to the broader ROS 2 ecosystem

[Interactive Diagram: URDF → SDF → ROS 2 Pipeline Flow]

The diagram would show how models progress through each layer, with AI assisting at each stage

The Role of AI

Our platform integrates advanced AI systems at every step of the robot modeling process, making complex tasks accessible while maintaining precision.

Natural Language Processing

Convert natural language descriptions into robot components. Simply describe what you need, and our AI generates the appropriate structure and properties.

Example:

"Create a cylindrical link with 10cm diameter and 20cm length for a robot arm"

Computer Vision

Convert sketches, images, or existing CAD files into structured robot models with properly defined links and joints.

Example:

Upload a sketch of your desired end-effector design and get a complete SDF model

Generative Modeling

AI-assisted generation of component geometry, properties, and relationships based on functional requirements.

Example:

Automatically generate optimal joint configurations for a specific movement pattern

Parameter Optimization

Intelligent suggestion of dimensions, material properties, and joint limits based on intended usage and physics constraints.

Example:

Optimizing inertial properties for balance and energy efficiency

Validation & Error Checking

Proactive identification of model inconsistencies, physics violations, and potential simulation issues.

Example:

Detecting unrealistic mass distributions or problematic joint configurations

Benefits of Our Structured Approach

The combination of layered modeling and AI assistance creates significant advantages over traditional robotics modeling methods.

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Accelerated Development

Reduce model creation time by up to 80% compared to manual methods. What used to take days can now be completed in hours or even minutes.

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Error Reduction

AI-powered validation significantly reduces common modeling errors, ensuring your robots will work correctly in simulation and physical implementation.

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Knowledge Accessibility

Lower the expertise barrier for robotics modeling. Engineers can focus on design intent rather than file syntax and technical details.

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Iterative Design

Quickly test and refine multiple design variations with minimal effort, enabling more thorough exploration of the solution space.

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Standardization

Ensure consistent, well-structured models that adhere to best practices across your entire robotics development pipeline.

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Simulation-Ready Output

Generate files that work immediately in ROS 2, Gazebo, and other simulation environments without manual conversion or fixing.

Built on Solid Foundations

React CAD combines proven technologies for a reliable, scalable platform:

Frontend

React, Next.js with modern UI frameworks

Backend

Python & Node.js for AI integration and API services

3D Visualization

WebGL with Three.js for real-time rendering

AI Systems

TensorFlow/PyTorch with specialized robotics models

Experience Our Technology in Action

See how our technology stack can transform your robotics workflow with our interactive demo.