Banner Lite 3 - Deep Robotics VS Go2 - Unitree Robotics

Deep Robotics Lite 3 vs Unitree Go2: two quadrupeds, two visions

Quadrupedal robots are no longer just technological demonstrators. They can be found in universities, research laboratories and even in some industrial environments. Among the models attracting the most attention today, two names often come up: Deep Robotics’ Lite 3 and Unitree’s Go2.

 

At first glance, they share quite a few similarities: compact size, high agility and research orientation. But when you take a closer look, they don’t quite meet the same needs.

Deep Robotics' Lite 3: a quadruped that goes beyond the laboratory

The Lite 3 is not just a robot designed to “play” with quadrupedal locomotion. Deep Robotics designed it as a serious work platform, capable of supporting both teaching and applied research projects.

 

In terms of hardware, it is quite robust for a quadruped in this category. It can carry a payload of up to 7.5 kg and its design allows it to operate in environments that are slightly more complex than those found in a simple laboratory. The Pro and Pro LiDAR versions come with powerful computers (Jetson Xavier or Orin depending on the configuration) and native compatibility with ROS/ROS2, which facilitates integration into existing research projects. It also comes with a remote control that transmits the video stream generated by the robot in real time.

 

Another strong point of the Lite 3 is its openness: LiDAR, cameras, multiple interfaces (USB, HDMI, Ethernet), software extensions, etc. It can be customised and serve as a true development platform. You can work on autonomous navigation, obstacle avoidance, environment reconstruction or even people tracking.

 

In short, the Lite 3 is designed to last and evolve with your projects.

The Unitree Go2: making quadrupeds accessible

For its part, Unitree’s Go2 plays in a different league. It is probably one of the most popular quadrupeds around at the moment, precisely because it is much more accessible.

 

Its price makes it an attractive solution for universities or laboratories with tight budgets. But that’s not its only advantage: the Go2 is designed to be fun and flexible. It can perform a whole range of movements (jumps, dances, rolls, etc.), making it a very popular robot for teaching or entertainment. It is also equipped with a few interactive features (speaker, LED strip) that add a small educational dimension.

 

That said, its use remains more limited. The Go2 is perfect for discovering quadrupedal robotics, testing algorithms or prototyping ideas, but it is not designed to operate in demanding environments or to serve as a basis for industrial projects.

Lite 3 vs Go2: summary of differences

Lite 3 (Deep Robotics) Go2 (Unitree)
Target audience
Advanced research, industry-related applications
Teaching, academic research
Robustness
Solid, usable in complex environments
Lighter, mainly suitable for indoor use
Software
Complete, ready-to-use application, ROS/ROS compatibility and complete SDK
Rather simplistic application and complete SDK
Sensors
LiDAR, cameras, various extensions
LiDAR, cameras, various extensions
Scalability
Can be adapted to real-world scenarios
Remains focused on educational R&D
Budget
Less than €15k fully equipped
Consumer version available at a low price

Two different philosophies

The Go2 is an excellent entry point: easy to use, affordable and perfect for introducing students to mobile robotics or testing perception algorithms.

The Lite 3, on the other hand, has a different ambition. It is a more robust, more open quadruped that can support advanced research projects and even serve as a gateway to industrial applications.

Conclusion

The two robots have different philosophies, and that is what makes them interesting. One focuses on accessibility and discovery, the other on robustness and openness to practical applications.

 

The choice will therefore depend mainly on your objectives and your means:

Lite 3 quadrupedal robot
Go2 quadruped robot
Marine Senecat, Content Manager chez Génération Robots

Marine Senecat

Content Manager at Génération Robots