Webots : Open-Source Robot Simulator for AI and Robotics Research
Webots: in summary
Webots is a free and open-source 3D robot simulator developed by Cyberbotics. It is designed to model, simulate, and control mobile robots, manipulators, and drones in complex physical environments. Widely used in education, academic research, and industry, Webots supports realistic physics, customizable robots, and integration with AI frameworks.
The simulator allows users to prototype and test algorithms for control, perception, and reinforcement learning before deploying to physical robots. It includes a library of prebuilt robot models, supports multiple programming languages, and provides seamless integration with real-world robot platforms.
Key benefits:
Realistic physics and environment modeling
Extensive support for robot hardware and sensors
Cross-platform, open source, and continuously maintained
What are the main features of Webots?
Comprehensive robot simulation engine
Webots enables high-fidelity simulation of robots in 3D environments using the Open Dynamics Engine (ODE) for physics.
Supports wheeled robots, quadrupeds, humanoids, manipulators, and drones
Simulates collisions, contacts, and realistic dynamics
Includes a wide variety of 3D objects and terrain elements
Rich sensor and actuator support
The platform provides virtual equivalents for most robotic components, allowing testing of perception and control systems.
Simulated sensors: cameras (RGB, depth), LiDAR, IMU, GPS, microphones
Actuators: motors, servos, LEDs, grippers, propellers
Sensor noise modeling for realistic performance testing
Multi-language programming and API support
Users can control robots using C, C++, Python, Java, MATLAB, and ROS, making it versatile for different workflows.
Built-in development environment with real-time simulation
ROS 2 integration for bridging with real-world robotics ecosystems
Web interface support for remote access and control
AI and reinforcement learning integration
Webots can be used in machine learning workflows for training agents in robotics-related tasks.
Compatible with Python ML libraries (e.g., TensorFlow, PyTorch)
Used in deep reinforcement learning for locomotion, vision, and manipulation
Supports curriculum learning and multi-agent scenarios
Real-to-sim and sim-to-real capabilities
The simulator is designed to mirror real-world hardware, enabling better transferability of models between simulation and physical deployment.
Supports exporting controllers to real robots (e.g., Raspberry Pi, NVIDIA Jetson)
Realistic sensor data for perception model training
Scalable experiments with parallel simulation runs
Why choose Webots?
Comprehensive and realistic simulation for a wide range of robotic systems
Open-source and actively developed, with community and commercial backing
Flexible programming and integration options, supporting major languages and tools
Ideal for research, teaching, and prototyping, from basic robotics to advanced AI
Strong support for transfer to real hardware, including ROS-compatible devices
Webots: its rates
Standard
Rate
On demand
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