Unitree Robotics, a prominent robotics company, has expanded its product line beyond quadruped robots to include humanoid robots, notably the G1 and H1 models. These humanoid robots are engineered to perform a variety of tasks, showcasing advanced mobility, dexterity, and adaptability.
The Unitree G1 is a compact humanoid robot standing ~127 cm tall and weighing around 35 kg. It features 23 to 43 degrees of freedom, depending on the configuration, allowing for a wide range of movements. Equipped with 3D LiDAR and depth cameras, the G1 can perform tasks such as jumping, walking at speeds over 4.4 mph, and climbing stairs. Its three-fingered hands enable it to handle delicate objects, making it suitable for research and educational purposes. The G1 is one of the first humanoids of its size to be commercialized, and even better at a relatively affordable price. Ideal for institutions and developers, or even organizations like RoboCup, the G1 is an excellent choice.
In contrast, the Unitree H1 is a full-sized humanoid robot, standing about 180 cm tall and weighing approximately 47 kg. It boasts a peak torque density of 189 N.m/kg and a maximum joint torque of 360 N.m, providing exceptional power and agility. The H1 is capable of running at speeds up to 3.3 m/s and is equipped with 3D LiDAR and depth cameras. Its design allows for autonomous navigation in complex terrains, making it suitable for advanced research and development applications.
In this blog post, we will compare the Unitree G1 and H1 humanoid robots and their different versions. Understanding the differences between these models will assist you in selecting the robot that best aligns with your project's requirements.This side-by-side comparison table for Unitree’s G1 and H1 humanoids. Remember that real-world performance and features can vary depending on your specific configuration and usage.
Feature / Spec | G1 "Basic" |
G1 EDU U1 "Standard" |
G1 EDU U2 "Plus" |
G1 EDU U3 "Ultimate A" |
G1 EDU U4 "Ultimate B" |
G1 EDU U5 "Ultimate C" |
H1 | H1-2 |
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CANADA / USA | RB-UNT-51 | RB-UNT-50 | RB-UNT-48 | RB-UNT-56 | RB-UNT-49 | RB-UNT-86 | RB-UNT-47 | RB-UNT-46 |
UK | RB-UNT-57 | RB-UNT-87 | RB-UNT-37 | RB-UNT-91 | RB-UNT-61 | RB-UNT-77 | RB-UNT-93 | RB-UNT-78 |
EU | RB-UNT-100 | RB-UNT-89 | RB-UNT-28 | RB-UNT-64 | RB-UNT-92 | RB-UNT-70 | RB-UNT-74 | RB-UNT-73 |
JP | RB-UNT-51 | RB-UNT-50 | RB-UNT-48 | RB-UNT-56 | RB-UNT-49 | RB-UNT-86 | RB-UNT-47 | RB-UNT-46 |
Total DoF (joint freedom) |
23 | 23 | 29 | 43 | 43 | 41 | ? | ? |
Waist DoF | 1 | 1 | 3 DoF | ? | ? | ? | ? | ? |
Single Arm DoF | 5 | ? | 7 (both arms upgraded) |
? | ? | ? | 4 | 7 |
Dexterous Hands Choice | NO | NO | NO | 2× Dex3-1 force-controlled 3-finger dexterous hands |
2× Dex3-1 force-controlled 3-finger dexterous hands with tactile sensor |
2× Inspire 5-finger dexterous hands RH56DFQ-2R, RH56DFQ-2L |
Optional: Inspire 5-finger dexterous hands (including one wrist DoF) Must purchase with H1 RB-UNT-72 (L), RB-UNT-63 (R) |
? |
CPU / GPU (Dev. Module) |
NO | Built-in 100Tops NVIDIA Jetson Orin AI algo & support |
? | ? | ? | ? | 1× std Intel Core i5-1235U (locomotion) 1× std Intel Core i7-1255U/1265U (dev.) Extended Options [5] |
? |
Max Torque Knee Joint [1] |
90 N·m | 120 N·m | ? | ? | ? | ? | Knee ≈ 360 N·m, Hip ≈ 220 N·m, Ankle ≈ 59 N·m, Arm ≈ 75 N·m |
Knee = 60 N·m, Hip = 220 N·m, Ankle = 45 N·m, Arm = 75 N·m |
Weight (with battery) |
About 35 kg | About 35 kg+ | ? | ? | ? | ? | About 47 kg | About 73 kg |
Secondary Dev. [3] | NO | YES | ? | ? | ? | ? | YES | ? |
Extra Joint Movement Space |
Waist: Z±155° Knee: 0~165° Hip: P±154°, R-30~+170°, Y±158° Wrist: NONE |
Waist: Z±155°, X±45°, Y±30° Knee: 0~165° Hip: P±154°, R-30~+170°, Y±158° Wrist: P±92.5°, Y±92.5° |
? | |||||
Warranty Period [4] | 8 Months | 1 Year | ? | |||||
Height × Width × Thickness (Stand) |
1320×450×200 mm | ? | ? | (1520+285) mm × 570 mm × 220 mm | ? | |||
Height × Width × Thickness (Folded) |
690×450×300 mm | ? | ||||||
Single Leg DoF | 6 | ? | 5 (Hip×3 + Knee×1 + Ankle×1) | 6 (Hip×3 + Knee×1 + Ankle×2) | ||||
Joint Output Bearing | Industrial-grade crossed roller bearings (high precision, high load capacity) |
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Joint Motor | Low-inertia, high-speed internal rotor PMSM | |||||||
Arm Max Load [2] | About 2 kg | ? | ||||||
Calf + Thigh Length | 0.6 m | ? | Thigh: 400 mm Calf: 400 mm |
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Arm Span | About 0.45 m | ? | Big arm: 338 mm Small arm: 338 mm |
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Full-Joint Hollow Electric Routing | YES | ? | ||||||
Joint Encoder | Dual encoder | ? | ||||||
Cooling System | Local air cooling | ? | ||||||
Power Supply | 13-string lithium battery | ? | ||||||
Dual Battery | No | ? | YES | ? | ||||
Sensing Sensor | 3D LIDAR: LIVOX-MID360 Depth Camera: Intel Realsense D435i |
? | 3D LIDAR: LIVOX-MID360 Depth Camera: Intel Realsense D435i |
? | ||||
4 Microphone Array | YES | ? | NO | |||||
Speaker | 5W Stereo | ? | NO | |||||
WiFi 6, Bluetooth 5.2 | YES | ? | NO | |||||
Smart Battery (Quick Release) |
9Ah | ? | 15Ah (0.864 KWh), Max 67.2V RB-UNT-14 |
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Charger | 54V, 5A | ? | Fast Charger RB-UNT-53 (EU), RB-UNT-83 (USA), RB-UNT-45 (UK) |
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Manual Controller | Included | ? | Included RB-UNT-82 |
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Battery Life | 2h | ? | 2h | |||||
Upgraded Intelligent OTA | YES | ? | YES | |||||
Mobility | Walking speed: 2 m/s | ? | Walking speed: >1.5 m/s Moving speed of 3.3 m/s (world record) Potential >5 m/s |
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Gantry | NO | Included (Only G1 EDU series get one free gantry) |
? | Included RB-UNT-55 |
? | |||
Voice Function | English & Chinese via "Benben Dog" App |
? | NO | |||||
Footnotes & Disclaimers[1] The maximum torque stated generally applies to the knee joint; other joints may vary. [2] Arm Max Load depends on servo torque, link length, and speed. [3] Secondary Development refers to user-accessible APIs, open SDK, or dev kits. [4] Warranty Period can vary by region; always confirm with your supplier. [5] Extended Options: 1× additional Orin NX; 1× additional Intel Core i7; 1× additional AGX (max 2 units 550Tops); RB-UNT-102 (Orin NX), RB-UNT-76 (275 TOPS), RB-UNT-94 (550 TOPS) |
Whether you’re using these humanoids for advanced research, light industrial tasks, or educational demos, the G1 and H1 models offer impressive capabilities and customization options. Always be mindful of their limitations, and make sure to consider factors like battery life, payload requirements, and terrain challenges in your planning process.
As humanoid robots, advanced machine vision and AI merge, humanoids might be able to “teach themselves” how to do tasks, or “learn by watching”. Their dexterity will likely improve, as will their speech and task comprehension.
If these humanoids might be a bit complex or out of budget, Unitree offers a range of more affordable quadruped “dog” type robots. The comparison between models can be found here.