Comparisons · Robot24.com Original

DEEPRobotics Lite3 vs. Unitree Go2 EDU

Two compact quadruped robots for robotics research, education and autonomous-navigation development compared on mobility, payload, runtime, AI compute and development capabilities.

September 25, 2026 by Business Desk Team

Introduction
The DEEPRobotics Lite3 and Unitree Go2 EDU are small quadruped robots intended for use mainly in robotics research, autonomous-navigation systems development and AI testing and learning.

Each one offers four-legged mobility, autonomous navigation, obstacle avoidance, SDK access and ROS support.

Lite3 is a small form factor development platform that comes in a range of profiles including standard, Pro and LiDAR.

The record from 1 to 150 meters by Robot24 Unitree is stored as Go2 Edu Plus. It is equipped with 100 TOPS of NVIDIA Jetson Orin NX computing, and filled with perception equipment and extensive development interfaces.

At a Glance

Metric	DEEPRobotics Lite3	Unitree Go2 EDU
Robot type	Research / education quadruped	AI research quadruped
Release year	2023	2026 Robot24 record
Weight	Approx. 12–13.5 kg	Approx. 15 kg
Degrees of freedom	12	12
Payload	Approx. 2.5–5 kg	Approx. 8 kg; maximum approx. 12 kg
Maximum speed	Approx. 2.2–4.0 m/s depending on variant	3.7 m/s; up to 5 m/s maximum recorded
Runtime	90– 120 minutes	2–4 hours
Maximum slope	40°	40°
Step / obstacle height	Approx. 15– 18 cm	Approx. 16 cm
Vertical jump	Up to 0.3 m	Not separately recorded
Long jump	Up to 0.4 m	Not separately recorded
Autonomous navigation	Supported; LiDAR variant specifically recorded	Yes
Obstacle avoidance	Yes	Yes
SLAM	Development support	Yes
Terrain adaptation	Yes	Yes
Main AI compute	NVIDIA Jetson Xavier NX on Pro / LiDAR versions	NVIDIA Jetson Orin NX
AI compute performance	Not recorded	100 TOPS
Camera	Wide-angle camera; depth/RGB depending on variant	HD wide-angle camera + Intel RealSense D435i
LiDAR	LiDAR variant available	4D LiDAR L1; additional LiDAR options
IMU	Yes	Yes
Wi-Fi	Yes	Wi-Fi 6
Ethernet	Yes	Gigabit Ethernet
ROS	ROS1 and ROS2	ROS2
SDK	Yes	Yes
Secondary development	Supported through SDK/API	Yes
Warranty	Not disclosed	12 months
Price	Approx. US$2,890–18,270 depending on variant	Approx. US$16,000–22,500
Availability	Commercially available	Commercially available

How They Compare

Lite3 and Go2 EDU cater to a similar segment of the robotics market: small quadrupeds, aimed at developers, universities and robotics labs.

DESPRobotics Lite3 has an estimated weight of 12 - 13.5kg, and an estimated payload of 2.5 - 5kg. The top speed of Deeprobotics Lite3 varies on the version. It ranges from 2.2 to 4m/s.

This record of locomotion is of climbing slopes 40, crossing steps 15-18, jumping vertically 0.3 m, long jump 0.4 m.

Lite3 features also include terrain adaptability, autonomous gait control, obstacle avoidance and autonomous navigation (LiDAR version). It can be equipped with NVIDIA Jetson Xavier NX computing platform for Pro and LiDAR versions. It offers support for ROS1 and ROS2, SDKs and APIs for secondary development and robotics research.

Unitree Go2 EDU The unitre record weighs around 15kgs and has around 8kgs payload weight capacity (max one measured around 12kgs).

Maximum speed 3.7 m/sec, maximum 5 m/sec Runtime of two to four hours compared to about 90-120 mins for Lite3.

Go2 EDU's computer and perception system also equipped with extremely powerful computing power. The record for the Robot24 includes the NVIDIA Jetson Orin NX providing about 100 TOPS, 4D LiDAR L1, Intel Real Sense D435i depth camera, HD wide-angle camera, IMU, foot-end force sensor and joint encoder.

Summary

Both robots have capable autonomous navigation, obstacle avoidance and SLAM research capabilities as well as reinforcement learning and sensor fusion and secondary robotics development.

DEEPRobotics Lite3 and Unitree Go2 EDU are Off-the-shelf quadruped development platform for research, education, SLAM, AI and autonomous-navigation experimentation.

Lite3 is the lighter platform and different configurations from cheaper development models to LiDAR models, has good dynamic mobility, including jump, climb slope, terrain adaptation and other functions, supported with ROS1/ROS2, SDK and API, etc.

Go2 EDU's recording payload, longer runtime, and more powerful integrated computing specification makes it especially suitable for highly capable AI and autonomous systems research, with features like its NVIDIA Jetson Orin NX, 100 TOPS of AI compute, 4D LiDAR, Real Sense depth camera, and broad development capabilities.

The primary difference is then the fact that Lite3 is the lightweight, configurable quadruped-Development System and Go2 EDU is a more robust AI research platform that has a higher payload, longer runtime and more processing power.

DEEPRobotics Lite3 vs. Unitree Go2 EDU

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