T-Bot uses ROS2 as its middleware, allowing programming in Python, C++, or any ROS-compatible language. This gives students hands-on experience with industry-standard tools and enables them to build real-world robotics applications with strong community support.

Yes! Our robots are designed for all experience levels. Beginners can follow step-by-step tutorials to learn how different modules work together in a classic three-tier navigation autonomy system and understand the role of each module.

Yes! Our state-of-the-art autonomy stack allows advanced users to gain first-hand experience with a fully integrated navigation autonomy system. Advanced users can also fork our autonomy stack repository, modify code/parameters, and integrate more ROS2 nodes into the system.

We provide detailed instructions for operating the robot along with stable and easy-to-use system features. You can interfere with the system using a joystick controller, RVIZ graphics interface, and example code. Our system can help you bring robotics into your classroom smoothly and with confidence.

Researchers can benefit from our open-source autonomy stack and use ROS2 interface to communicate with the system. Users can develop custom software and run it on the built-in computer or an add-on computer with a powerful GPU. Several options are available for mounting sensors, computers, manipulation arms, etc.

Entrepreneurs can take our robot for commercialization prototyping and use it as a starting point. Our full autonomy stack is open-sourced with a commercial-free license. Later on, you are welcome to design your dedicated hardware for the applications and migrate our autonomy stack to your hardware.