Unitree
excl. VAT
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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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Rapid visual capture of large areas for construction progress documentation, combining wheeled efficiency with the stability of a quadruped.
Smooth and rapid monitoring of extensive campus areas, ensuring maximum presence and security through intelligent patrol routes.
Efficient inspection of technical systems and supply lines, providing high-resolution data for the early detection of maintenance requirements in real time.
Versatile navigation between production lines and obstacles, optimizes maintenance processes through autonomous inspection runs.
Rapid inspection of storage locations and security areas, gliding efficiently over smooth warehouse floors for seamless inventory monitoring.
High-speed patrols for the seamless security of large company premises, offering responsive monitoring by day and night.
The Unitree Go2W Standard is the ideal quadruped robot for educational and entry-level applications. With its powerful 40 TOPS AI engine and robust design, it's perfect for exploring autonomous navigation, object recognition, and AI algorithms. A reliable partner for students and hobbyists.
| Characteristic | Value |
|---|---|
| AI performance | 40 TOPS |
| Weight | approx. 19.6 kg |
| Application | Education & Hobby |
| Camera type | Wide-angle camera (Please specify exact type) |
Terra Robotics
https://terra-robotics.de/
mail@terra-robotics.de
Zeißstraße 10,
32584 Löhne
Germany
Dimensions: 540 × 440 × 617 mm
Weight: 53 kg
Scrubbing width: 330 mm
Gradability (cleaning): 5.2%
Max. travel speed: 0.8 m/s
Minimum passage width: 600 mm
Minimum turning radius: 750 mm
Battery: 40 Ah LiFePO₄ (24 V)
Runtime: 4 – 4.5 h (scrubbing)
Charging time: approx. 2 h
Sensors: 2× LiDAR & 1 camera
The Unitree Go2W combines state-of-the-art AI-powered motion control with precise sensor technology. With its 6 LiDAR sensors and a depth camera, the robot dog recognizes its environment in real time and reacts dynamically to obstacles or terrain changes. Thanks to the Unitree AI engine, the Go2W moves fluidly, safely, and autonomously—both on flat surfaces and in complex indoor environments. The EDU variants (Plus, Mid, XT) offer additional computing power through the integrated Jetson Orin NX module (100 TOPS), ideal for research, AI development, and university applications.
With its high-resolution 3D environmental perception, the Go2W enables precise and stable navigation – whether in a laboratory, showroom, or industrial environment. The integrated SLAM system (Simultaneous Localization and Mapping) creates digital maps in real time and continuously optimizes route guidance. The EDU Plus-Mid and EDU Plus-XT variants are additionally equipped with Mid-360 LiDAR and Hesai XT16 LiDAR, respectively – for even greater range, depth of detail, and object detection at a research and robotics level.
The Go2W is more than a robotic dog – it is an open platform for robotics research and AI training. Through freely accessible SDKs, API interfaces, and ROS integration, developers can implement their own algorithms, sensor modules, and movement patterns. The EDU series is specifically aimed at universities, laboratories, and companies looking to test and expand machine learning models, sensor fusion, or autonomous movement logic. With its modular architecture, the Go2W thus provides the perfect foundation for robotics prototyping, AI research, and simulation environments.
The Unitree Go2W combines powerful AI navigation, precise LiDAR detection, and flexible motion control in a compact, adaptive robot dog. Whether in the standard or EDU version, the Go2W offers maximum stability, efficiency, and adaptability for research, industry, and education.
The Go2W is a powerful, autonomous robot dog for practical applications such as inspection, research, and industry. With precise sensors, advanced AI, and a robust design, it masters complex environments with ease. The Go2W EDU is aimed at universities and developers. Thanks to open SDKs, ROS integration, and API interfaces, it offers complete freedom for custom algorithms and AI experiments. Both models are based on the same modular platform – the Go2W for professional use, and the Go2W EDU as an open learning and research platform for the robotics of the future.
The Unitree Go2W robot dog is suitable for mobile robotics, industrial inspection, security patrols, research, development, robotics labs, universities, showrooms, tech demos, and mixed indoor-outdoor scenarios. Terra Robotics positions the Unitree Go2W specifically for companies and teams looking for an agile wheeled robot dog for autonomous navigation, all-terrain mobility, and real-world test environments.
The Unitree Go2W is a hybrid robot dog from Unitree that combines quadruped agility with wheels. This allows it to roll efficiently on flat surfaces while remaining stable in more demanding situations. The robot dog is designed for inspection, research, industry, security patrols, and autonomous robotics projects.
The Unitree Go2W combines legs and wheels in a single platform. A classic robot dog moves exclusively using its legs, while the Go2W can roll on suitable surfaces, allowing it to travel more efficiently, stably, and quickly. At the same time, the quadruped structure remains helpful when transitions, edges, inclines, or uneven ground areas need to be navigated.
The Unitree Go2W can support industrial inspections by navigating defined routes through halls, facilities, workshops, storage areas, or company premises. Its combination of wheel-leg mobility, LiDAR-based environmental perception, camera sensor technology, and SLAM navigation makes it attractive for recurring inspection rounds, mobile data acquisition, and the testing of autonomous inspection processes.
According to Terra Robotics, key technical specifications of the Unitree Go2W include a weight of approx. 18 kg including battery, a speed of up to approx. 2.5 m/s, a payload of approx. 3 kg, 7-inch pneumatic tires, a maximum climbing ability of approx. 35°, and a climb or drop height of up to approx. 70 cm. These values are particularly relevant for planning, transport, test environments, and mobile robotics projects.
The Unitree Go2W uses LiDAR-based environmental sensing and camera technology to detect obstacles, spatial structures, and terrain changes. The integrated SLAM system helps the robotic dog create digital maps, determine its position, and autonomously optimize routes. This makes the Go2W suitable for navigation tests, inspection routes, research, and mobile autonomy.
Yes, the Unitree Go2W is suitable for research and development because it is positioned as an open platform for robotics, AI training, and secondary development. Through SDKs, API interfaces, and ROS integration, developers can implement their own algorithms, sensor modules, and movement patterns. This makes the robot dog particularly relevant for universities, laboratories, start-ups, and industrial robotics teams.
Additional computing power in the Unitree Go2W is primarily relevant for AI projects, sensor fusion, autonomous navigation, and edge inference. Depending on the version, a Jetson Orin NX module with 100 TOPS can be provided. This is particularly interesting for development teams who want to test their own perception models, movement logic, or autonomous robotics functions directly on the platform.
For the Unitree Go2W, Terra Robotics specifies a long-endurance battery with 15,000 mAh and a typical runtime of approximately 1.5 to 3 hours. This makes the robot dog suitable for test series, demonstrations, inspection routes, and mobile deployments where charging windows and operating duration should be planned in advance.
The Unitree Go2W can be purchased, leased, or requested as a custom project solution at Terra Robotics. Purchase is suitable for companies, research teams, and universities that wish to use the robot dog permanently. Leasing offers predictable monthly costs, while a project inquiry is particularly useful for training, accessory planning, AI integration, safety concepts, inspection routes, or scalable robotics implementation.
The Unitree Go2W is a wheeled robotic dog that combines the advantages of a quadrupedal robot with efficient rolling operation. This creates a hybrid mobility platform that rolls quickly and energy-efficiently on flat surfaces while remaining stable in more demanding situations. The Go2W is of particular interest to companies and research teams looking for reliable autonomous navigation, inspection, or security routes in real-world environments – such as industrial halls, company premises, large indoor areas, or mixed indoor-outdoor scenarios.
Positioned as the “Go2-W,” the system sits between a classic quadruped and a mobile wheeled robot: it is compact, agile, and designed for autonomous movement logic.
A key added value of a wheel-leg-based robotic dog is the combination of range and terrain capability. On smooth or semi-level routes, the rolling principle can improve efficiency and stability, while the leg layout allows for additional control during transitions, at edges, and on uneven ground. The Go2W is designed for “all-terrain” use and can overcome obstacles up to approximately 70 cm in size as well as tackle inclines of up to around 35°.
Clear specifications are essential for planning and real-world operation. The Unitree Go2W has a compact design, making it easy to transport and quick to deploy in test environments:
This allows the Go2W to be effectively positioned for search terms such as “Unitree Go2W specifications,” “robotic dog 2.5 m/s,” “robotic dog 18 kg,” “robotic dog payload,” “robotic dog 45 Nm,” or “robotic dog climbing ability.”
In autonomous operation, perception is the decisive factor. The Go2W relies on LiDAR-based environmental sensing and camera sensor technology to detect obstacles and dynamically adjust movements. The product documentation also describes an AI-supported motion control system that reacts in real-time to obstacles and changes in terrain.
An important building block for professional applications is SLAM (Simultaneous Localization and Mapping). This enables the robot to create digital maps, continuously update its position and surroundings, and autonomously optimize route guidance.
Ease of use and maintainability are critical for daily operations. The Go2W supports app operation and OTA updates, allowing functions and improvements to be updated via software.
Additionally, manual control, front lighting, and connectivity via Wi-Fi 6, 4G, and Bluetooth are mentioned—relevant for remote operation, large areas, and flexible setups.
For interaction, voice functions and AI/speech interaction via the app are included, making the Go2W additionally interesting for showroom and assistance scenarios.
In addition to professional use, the Go2W is positioned as an open platform for robotics research and secondary development. Freely accessible SDKs, API interfaces, and ROS integration are described for implementing custom algorithms, sensor modules, and movement patterns.
Depending on the version, additional computing power is provided via a Jetson Orin NX module (100 TOPS), which is particularly relevant for AI inference, sensor fusion, and complex autonomy pipelines.
This makes the Go2W a good fit for search terms such as “ROS robotic dog,” “robotic dog SDK,” “robotics API,” “Jetson Orin NX robotics,” “100 TOPS robotics,” or “AI robotic dog development platform.”
Energy planning plays a major role during operation—especially for inspection runs and longer test series. The Go2-W features a long-endurance battery (15,000 mAh) with a typical runtime of approximately 1.5 to 3 hours and fast charging (33.6 V / 9 A).
This allows the Go2W to be easily integrated into practical workflows: short charging windows, multiple test blocks per day, and clear operating times for repeatable experiments.
