Everything you need to build robots
The complete robotics development pipeline — from natural language description to production-ready deployment. Every stage connected, every tool integrated.
Design
AI generates robot structure from natural language
Validate
Physics linter checks inertias, joints, collisions
Configure
ros2_control hardware interfaces & controllers
Program
Visual Behavior Trees with live XML sync
Simulate
Real-time physics preview with Rapier3D
Export
URDF, SDF, MJCF for any platform
Deploy
Production-ready ROS2 packages
Deep integration at every step
AI Robot Generation
Design → Validate
Describe your robot in natural language. Our AI generates complete kinematic chains, proper joint limits, and physically-valid inertial properties.
- Multi-model support (GPT-4, Claude, Gemini)
- Iterative refinement with chat
- Structured output validation
Physics Linter
Validate → Configure
Real-time physics validation catches errors before simulation. Warns about impossible inertias, self-collisions, and joint singularities.
- Inertia tensor validation
- Collision geometry checking
- Joint limit analysis
ros2_control Generator
Configure → Program
One-click generation of hardware interfaces, controller configs, and protocol-specific boilerplate for UART, CAN, I2C, and SPI.
- Hardware interface scaffolding
- Controller YAML generation
- Resource claim validation
Behavior Tree Editor
Program → Simulate
Visual drag-and-drop editor for BehaviorTree.CPP. Changes sync bi-directionally with XML — edit visually or in code.
- Live XML synchronization
- Node library with search
- Subtree composition
Physics Simulation
Simulate → Export
Instant physics preview with Rapier3D WebAssembly. Test kinematics, reachability, and collision detection without leaving the IDE.
- Real-time collision detection
- IK mode for reachability
- Gravity and friction testing
Multi-Format Export
Export → Deploy
Export to URDF for ROS, SDF for Gazebo, or MJCF for MuJoCo. Full mesh embedding and material preservation across formats.
- URDF, SDF, MJCF support
- Mesh embedding options
- ROS2 package scaffolding
The Kindly Ecosystem
Beyond the IDE — research infrastructure, enterprise solutions, and social impact initiatives
FoodforThought
Open data infrastructure for Physical AI. Community-powered labeling, demonstration capture, and full lineage tracking from sensor to skill.
Explore Platform →KindlyforYou
Enterprise robotics platform. Fleet management, deployment orchestration, and scalable infrastructure for production robotics.
Learn More →KindlyforUs
501(c)(3) nonprofit. Community-driven robotics for social good — environmental cleanups, disaster response, and humanitarian aid.
Get Involved →