Webots
Cross-platform robot simulator with built-in models, sensors, and development environment
License
Apache-2.0
Overview
Webots is a cross-platform robot simulator developed by Cyberbotics, now open source, that provides a complete environment for modeling, programming and simulating robots. It includes ODE physics, a library of sensors, actuators and robot models such as NAO and e-puck, and ROS 1 and ROS 2 integration. Controllers can be written in C, C++, Python, Java and MATLAB.
Webots is a professional robot simulator developed by Cyberbotics (now open source). It provides a complete development environment for modeling, programming, and simulating robots.
Key features include: - Accurate physics (ODE engine) - Rich sensor and actuator library - Built-in robot models (NAO, e-puck, etc.) - Multiple programming language support - ROS 1/2 integration - Web-based visualization (Webots.cloud) - Cross-platform (Windows, Linux, macOS) - Competition and classroom ready
Webots has a long history in robotics education and competitions. Its user-friendly interface and extensive documentation make it excellent for beginners while still being capable for research.
Why it matters
Webots provides the smoothest path from zero to simulated robot. As a cross-platform simulator with a built-in IDE, robot library, and tutorial system, it excels in education and rapid prototyping where getting started quickly matters more than bleeding-edge performance.
Problem it solves
Learning robotics simulation is daunting — most tools require complex setup and have sparse documentation. Webots provides an all-in-one environment where beginners can start simulating robots within minutes.
Key takeaways
- Cross-platform robot simulator with integrated development environment
- Library of pre-built robot models including industrial and mobile platforms
- Built-in physics, sensors, actuators, and complete IDE
- Strong educational resources and tutorials
- Supports C, C++, Python, Java, and MATLAB controllers
Who it is for
- Students learning robot simulation and programming
- Educators building robotics curricula
- Hobbyists prototyping robot designs
- Engineers doing rapid prototyping before hardware deployment
Limitations
- Physics engine less accurate than MuJoCo for contact-rich tasks
- Performance slower than GPU-accelerated alternatives for RL training
- Smaller research community compared to MuJoCo/Isaac ecosystem