Unitree G1

Overview and Use Cases

The Unitree G1 is a humanoid robot designed and manufactured by Unitree Robotics. The robot is primarily marketed as a research and demonstration platform for academic institutions, roboticists, and developers. It is available through Amazon and authorized distributors.

The G1 has achieved significant commercial distribution, with over 5,500 units shipped in 2025. The robot is offered in multiple configurations with varying price points:

• Base G1: approximately $13,500–$16,000
• G1 EDU variants: up to approximately $73,900

Key Capabilities

The G1 operates in supervised-autonomous mode for specific trained tasks, with teleoperation as a primary demonstrated use mode. Autonomy is not fully autonomous across general tasks. The robot is designed to support research into humanoid locomotion, manipulation, and task learning.

Specifications

Physical Specifications:

• Standing dimensions: 1320 × 450 × 200 mm
• Folded dimensions: 690 × 450 × 300 mm
• Height: approximately 1.3 m
• Weight: approximately 35 kg (with battery)

Degrees of Freedom:

• Base G1: 23 DOF
• G1 EDU variants: 23–43 DOF
• Configuration: 6 DOF per leg, 5 DOF per arm, 1 DOF waist (with optional additional 2 DOF)
• Optional 7 DOF dexterous hand available

Performance:

• Arm payload capacity: 2 kg per arm (base model); 3 kg per arm (EDU variants)
• Walking speed: up to 2 m/s (vendor specification); approximately 1.5 m/s observed under standard conditions
• Battery: 9,000 mAh capacity
• Runtime: approximately 2 hours mixed-use operation
• Recharge time: approximately 1.5 hours

Applications

The G1 is used in research and development environments for the study of humanoid robotics, locomotion algorithms, and task learning. The robot supports integration with AI models and research frameworks, though practical deployment for economically useful autonomous work remains limited.

Manufacturer

The Unitree G1 is manufactured by Unitree Robotics. Documented reliability concerns include parts availability issues, short warranty periods, and challenges with sim-to-real deployment in field conditions.