Traditional Digital Twin Creation is Painful
Manual creation of URDF/SDF files is time-consuming, error-prone, and requires deep technical expertise. React CAD leverages AI to automate and simplify this process, allowing you to focus on innovation rather than file syntax.
Traditional Process
- ✗Manually code URDF/SDF XML files
- ✗Struggle with complex inertial properties calculations
- ✗Debug XML syntax errors extensively
- ✗Repeat for every iteration of your design
React CAD Solution
- ✓Interactive visual editing with real-time feedback
- ✓AI-powered property generation and suggestions
- ✓Automatic validation and error prevention
- ✓One-click export to URDF, SDF, and ROS 2
Core Features
React CAD combines powerful AI assistance with intuitive design tools to revolutionize how you create robot digital twins.
- • Natural language to component conversion
- • Intelligent property suggestions
- • Automatic inertial calculations
- • Smart optimization recommendations
- • Structured editing workflow
- • Automatic conversion between formats
- • ROS 2 controller configuration
- • One-click package generation
- • Real-time model rendering
- • Toggle between visual and collision views
- • Sensor field of view visualization
- • Joint movement simulation
How It Works
React CAD streamlines the digital twin creation process with a structured, AI-assisted workflow.
Stage 1: Base Structure (URDF)
Define the basic robot structure with links, joints, and basic properties. Upload CAD files or use AI to generate components from descriptions.
Stage 2: SDF Enhancement
Enrich your model with sensors, advanced physics properties, and detailed materials. AI helps configure appropriate parameters for your use case.
Stage 3: ROS 2 Integration
Configure controllers, generate launch files, and prepare your model for ROS 2 deployment with AI-assisted integration.
Use Cases & Benefits
React CAD serves diverse robotics needs across industry, research, and education.
R&D Prototyping
Rapidly iterate on robot designs, test virtual prototypes, and validate concepts before physical implementation.
Academic Research
Enable researchers to focus on innovation rather than configuration files, accelerating robotics research projects.
Automation Projects
Design and validate industrial automation systems with accurate digital twins before deployment.