Unitree G1 Basic | Humanoïde Robot | Basisversie

The Unitree G1 Basic EDU is designed for research institutions, universities, and developers looking to use humanoid robotics as an open development platform. Built around a humanoid robot measuring approximately 1.32 m in height and weighing around 35 kg, the platform features 23 degrees of freedom in its base configuration and can be used for motion research, autonomous navigation, and AI applications. Unlike systems primarily intended for demonstrations, the EDU version focuses on enabling users to develop their own applications. The platform supports research projects in areas such as Embodied AI, Reinforcement Learning, Imitation Learning, and sensor fusion. This allows users to develop custom algorithms, train motion models, and evaluate new human-robot interaction concepts under real-world conditions.

The G1 Basic EDU is designed with future expansion in mind, offering significantly greater flexibility than the standard base version. Depending on the configuration, additional degrees of freedom, optional wrist axes, and dexterous robotic hands can be integrated. Supported options include the Unitree Dex3-1 three-finger hand as well as other compatible research and gripping systems. This enables applications such as mobile manipulation, object handling, pick-and-place experiments, and AI-powered interaction scenarios. More powerful computing modules can also be integrated for research projects requiring advanced perception and decision-making capabilities. As a result, the platform can scale alongside the growing requirements of research and development projects.

To support autonomous functionality, the G1 Basic EDU integrates multiple sensors directly into the platform. Standard equipment includes a depth camera, a 3D LiDAR system, a four-microphone array, and a speaker for voice-based and interactive applications. These sensors provide the foundation for environmental perception, obstacle detection, localization, and navigation. An integrated high-performance CPU complements the sensor suite by processing motion control and AI applications locally on the robot. This makes the platform suitable for both autonomous mobility research and the development of custom perception and interaction algorithms. The combination of sensing capabilities and mobility enables realistic testing beyond purely virtual simulation environments.

One of the key advantages of the G1 Basic EDU is its strong focus on Secondary Development and software engineering. The platform is designed for ROS and ROS 2-based applications and enables the integration of custom software modules into research and development environments. Compared to the G1 Basic, the EDU version emphasizes enhanced developer access, SDK functionality, and programming interfaces. This allows users to create customized control, perception, and navigation solutions and test them directly on the humanoid robot. For universities, AI laboratories, and robotics developers, the platform provides a flexible development environment that supports everything from initial proof-of-concept projects to advanced research programs.

In addition to supplying the hardware, RBTX supports companies, universities, and research institutions with the integration of humanoid robotics into existing development environments. Services include technical consulting, product demonstrations, commissioning support, and training for the deployment and operation of Unitree platforms. Users working on ROS projects, research setups, or custom development requirements benefit from having a single point of contact for system selection and implementation. RBTX also offers a range of compatible accessories for various use cases, including expansion components, additional batteries, transport solutions, and selected gripping and development systems. This enables customers to source complete project solutions from one provider and adapt the platform to future research requirements as needed.