Unitree
excl. VAT
Hangzhou Yushu Technology Co., Ltd.
https://www.unitree.com/
sales_zty@unitree.com
Building 1, No. 88 Dongliu Road 88
Room 306, Hangzhou
China
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Platform for hands-on robotics, AI, and mechatronics education: from basic lab courses to project work involving humanoid locomotion, sensor technology, and interaction.
Test platform for new algorithms in perception, motion planning, reinforcement learning, and human-robot interaction – including real-world data acquisition.
Modern training robot for aspiring mechatronics engineers, programmers, and automation technology teams – from basic operation to custom applications.
Ideal for teams wanting to use humanoid robotics in challenges: rapid prototyping, stable test runs, balancing, navigation, and interaction with the environment.
An eye-catcher for technology centers, museums, events, and innovation spaces: The R1 EDU makes modern AI and robotics development visible, understandable, and tangible.
Development and testing of service robotics in controlled environments – for example for transport, interaction, demonstration, or simple assistance tasks.
The Unitree R1 EDU is a state-of-the-art, agile robotic platform designed specifically for research, education, and AI development. It serves as a scalable tool for projects ranging from basic motion control to advanced tactile manipulation.
All models in the EDU series provide a robust foundation for your robotics and AI projects:
The EDU series includes six variants (U1 to U6), which differ in terms of computing power, degrees of freedom (DOF), and equipment with dexterous hands.
| Feature | R1 Edu U1 (Standard) | R1 Edu U2 (Smart) | R1 Edu U3 (Pro A) | R1 Edu U4 (Pro B) | R1 Edu U5 (Pro C) | R1 Edu U6 (Pro D) |
|---|---|---|---|---|---|---|
| Total Degrees of Freedom (DOF) | 24 | 26 | 40 | 40 | 38 | 38 |
| DOF: Head | 0 | 2 | 2 | 2 | 2 | 2 |
| Computing Power (Expansion Dock) | 40 TOPS | 100 TOPS | 100 TOPS | 100 TOPS | 100 TOPS | 100 TOPS |
| Maximum Arm Payload | 2 kg | 2 kg | 2 kg | 2 kg | 2 kg | 2 kg |
| Dexterous Hand (Quantity) | None | None | 2 × Dex3-1 (3-finger) | 2 × Dex3-1 (3-finger) | 2 × Revo 2 (5-finger) | 2 × Revo 2 (5-finger) |
| DOF Hand (per hand) | N/A | N/A | 7 | 7 | 6 | 6 |
| Tactile Sensing Hand | N/A | N/A | No | Yes (with Tactile) | No (Basic) | Yes (Touch) |
Models from U2 upwards offer a significant advantage for advanced AI applications with 100 TOPS (Trillion Operations Per Second) compared to the 40 TOPS of the U1 version. The higher performance is essential for:
Starting with the Smart model (U2), the additional 2 DOF head allows the binocular camera to move independently of the upper body. This is crucial for gaze tracking and an expanded field of view, which greatly increases the efficiency of visual tasks.
The Professional models are designed for experiments in fine motor skills and human-robot interaction. The choice of hand depends on the research focus:
The U4 and U6 models feature tactile sensors in the fingertips. This allows the robot not only to see but also to feel how firmly an object is being held. This is a key feature for developing sophisticated, touch-based grasping strategies.
Terra Robotics
https://terra-robotics.de/
mail@terra-robotics.de
Zeißstraße 10,
32584 Löhne
Germany
Agile motion research with the R1 EDU
The Unitree R1 EDU was developed as a compact platform for humanoid robotics. With up to 26–40 degrees of freedom, dynamic whole-body movement, and an open development environment, it is suitable for projects involving locomotion, balance, motion planning, and AI-supported control. This makes the R1 EDU a practical system for universities, research laboratories, and technical training.
Perception and interaction in real space
Featuring a binocular camera, 4-microphone array, loudspeaker, and modern connectivity via WiFi 6 and Bluetooth 5.2, the R1 EDU supports realistic testing in perception, voice interaction, and human-robot communication. This allows applications to be not only simulated, but also practically tested in controlled laboratory, campus, and demonstration environments.
Open platform for proprietary developments
The EDU version of the Unitree R1 is designed for secondary development and provides developers with a flexible foundation for their own algorithms, robotics workflows, and research projects. With SDK support, simulation integration, and optionally expandable computing power, the R1 EDU is particularly well-suited for embodied AI, reinforcement learning, motion planning, and practical robotics experiments.
Compact humanoid for laboratories and education
The Unitree R1 EDU makes humanoid robotics more accessible without losing sight of research standards. Thanks to its compact design, reduced weight, and project-oriented features, it is easier to integrate into educational environments, test areas, and innovation projects than large humanoid systems. Ideal for teams that want to start working with real humanoid robotics early on.
The Unitree R1 EDU is suitable for colleges, universities, research labs, AI labs, vocational training, technical schools, robotics competitions, showrooms, and controlled service or assistance scenarios. It is particularly relevant for projects involving humanoid locomotion, perception, interaction, embodied AI, and practical robotics development.
The Unitree R1 EDU is a compact humanoid robot for research, education, and development. It was designed as an accessible platform for humanoid robotics and helps teams to practically test motion control, AI algorithms, sensor technology, interaction, and custom robotics applications.
The Unitree R1 EDU is more geared towards research, education, and custom development. While the regular R1 is primarily positioned as a compact humanoid platform, the EDU version offers advanced development options depending on the model, secondary development, optional additional hardware, and configurations for more demanding robotics projects.
The key specifications of the Unitree R1 EDU include a compact humanoid design, a weight of approx. 29 kg, 26–40 degrees of freedom depending on the configuration, a binocular camera, a 4-microphone array, speakers, WiFi 6, Bluetooth 5.2, a lithium battery, and a runtime of approx. 1 hour.
Yes, the Unitree R1 EDU is particularly suitable for colleges and universities that want to teach humanoid robotics in a practical way. It can be used in robotics, AI, mechatronics, and automation projects and supports students in experiments involving movement, perception, control, and human-robot interaction.
Yes, the Unitree R1 EDU is designed for research projects in humanoid robotics, embodied AI, motion planning, reinforcement learning, sensor technology, perception, and interaction. Thanks to its open development environment, it is suitable as a real-world test platform for algorithms that have previously been simulated or prototyped.
Yes, the EDU version supports secondary development, making it suitable for custom applications, algorithms, and research workflows. Development teams can use the R1 EDU for experiments with control systems, sensor technology, simulation, AI models, and real-world motion sequences in controlled environments.
No, the Unitree R1 EDU should not be viewed as a classic household robot. It is a professional development, research, and educational platform for controlled environments. Its use requires technical understanding, appropriate safety measures, and clearly defined test scenarios.
The Unitree R1 EDU offers an easier entry into humanoid robotics, as it is compact, comparatively lightweight, and designed for project-based use. This makes it easier to integrate into laboratories, educational environments, test areas, and demonstration projects than significantly larger humanoid systems.
Yes, the Unitree R1 EDU can be requested through Terra Robotics. Since variants, equipment, availability, scope of delivery, and project requirements should be tailored individually, we recommend a personal consultation before purchasing or project planning.
The Unitree R1 EDU is a humanoid robot designed for research, teaching, AI development, and practical robotics projects. It is aimed at colleges, universities, research labs, technical schools, development departments, and innovation centers that want to not only address humanoid robotics theoretically, but also test, program, and demonstrate it in reality. As a compact development platform, the R1 EDU combines modern sensor technology, dynamic movement capability, and open development options in a system that is especially attractive for controlled test environments and demanding educational or research projects.
Unlike simple demonstration robots, the Unitree R1 EDU focuses on practical work with real humanoid robotics. Teams can study movement sequences, validate algorithms, test interaction scenarios, and trial their own applications on a physical platform. This makes the R1 EDU particularly suitable for topics such as humanoid locomotion, embodied AI, motion planning, reinforcement learning, perception, human-robot interaction, and technical training.
For colleges and universities, the Unitree R1 EDU offers a modern foundation for introducing students to humanoid robotics in a practical way. Instead of just working with simulations, theoretical models, or small mobile robots, courses and project groups can experiment with a real bipedal system. This makes complex topics such as balance, gait patterns, body coordination, sensor fusion, and motion planning more tangible.
The R1 EDU is also interesting for research institutions because it represents a more accessible alternative to significantly larger humanoid robot systems. Its compact design facilitates integration into labs, test areas, and demonstration rooms. At the same time, the EDU orientation offers the possibility to implement one's own development projects and to view the robot not just as a finished device, but as an open research platform.
In vocational training, technical schools, and STEM projects, the Unitree R1 EDU can also help to clearly convey modern automation and AI topics. Learners do not just work with code or theory, but experience directly how software, sensor technology, actuators, and mechanics interact within a humanoid robot.
The Unitree R1 EDU is designed as a compact humanoid research robot. Official specifications for the R1 series state a height of approximately 123 cm and a weight of about 29 kg for the R1 EDU. Depending on the configuration, the R1 EDU features 26 to 40 degrees of freedom. This allows for the study of various movement sequences, postures, gestures, and interaction patterns.
For perception and communication, the R1 EDU combines a binocular camera, a 4-microphone array, and integrated speakers. WiFi 6 and Bluetooth 5.2 enable modern wireless communication and data transfer. Battery life is approximately one hour, depending on load, movement profile, and usage scenario. For more demanding AI and robotics projects, additional computing resources may be provided depending on the model and equipment, for instance for visual processing, simulation transfer, or AI-supported applications.
Important: The concrete specifications depend on the selected R1 EDU configuration. Therefore, before purchasing, it should be clarified which variant, computing power, hand configuration, interfaces, and development options are required for the planned project.
A key advantage of the Unitree R1 EDU is its orientation toward secondary development. This makes the humanoid robot suitable for teams that want to develop their own algorithms, control logic, AI models, or research workflows. This is particularly relevant for projects where simulation and real hardware are to be connected.
In practice, research teams can first develop motion models in a simulation environment and then test them on a real platform. This sim-to-real approach is particularly important for humanoid robotics because movements in real space are significantly more complex than in a pure simulation due to friction, weight, balance, delays, sensor noise, and environmental influences.
For embodied AI, the Unitree R1 EDU offers a physical platform on which AI can not only process data but also interact with the real environment. This creates practical test scenarios for perception, decision-making, navigation, interaction, and motor execution.
Humanoid robotics is particularly demanding because a robot must not only drive or grip, but coordinate its entire body. Therefore, the focus of the Unitree R1 EDU is on movement intelligence, balance, and dynamic whole-body control. Research and development teams can investigate how a humanoid robot walks, reacts, maintains stability, performs changes in direction, or deals with changing situations.
This makes the R1 EDU interesting for projects related to gait research, adaptive movement, motion planning, and AI-based control. At the same time, it is suitable for human-robot interaction, for example in demonstrations, teaching scenarios, gesture control, voice interaction, or controlled assistance tasks. The robot should always be operated in suitable test environments, as humanoid systems are complex machines with high kinetic energy.
Anyone wishing to buy a Unitree R1 EDU should not only consider the robot itself but the entire project environment. Decisive questions include: What research goals should be achieved? Will the robot be used for teaching, development, demonstration, or competitions? What development environment is intended? Is additional computing power required? Are gripping or manipulation tasks planned? How are safety, support, maintenance, and training organized?
Terra Robotics assists in selecting the appropriate configuration and helps to meaningfully integrate the Unitree R1 EDU into existing lab, teaching, or development environments. Especially with humanoid robots, expert advice is important so that expectations, technical possibilities, and real operational conditions match.
The Unitree R1 EDU makes professional humanoid robotics accessible to more teams. It combines compact dimensions, modern sensor technology, flexible development options, and a clear focus on research and education. This makes it suitable for all organizations that do not just want to present humanoid robots, but to actively understand, program, and further develop them.
Whether as a research robot for AI labs, a teaching platform for colleges, a demonstration system for innovation centers, or a test platform for embodied AI: The Unitree R1 EDU offers a practical entry into the next generation of humanoid robotics.
