Unitree G1 Comp – a humanoid robot for RoboCup and AI training with reinforcement learning support | Unitree
Unitree G1 Comp
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Unitree G1 Comp

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The Unitree G1 Comp is a version of the G1 humanoid robot optimized for RoboCup robotics competitions. 25–45 DOF, weighing ~35+ kg. Equipped with an 8-core CPU and NVIDIA Jetson Orin NX (100 TOPS). YOLO11 system for real-time game field recognition. Full RoboCup SDK: Visual Recognition API, Spatial Positioning API (monocular + binocular), Motion Control API. Supports reinforcement learning via Isaac Gym + Mujoco with the full Sim2Sim→Sim2Real pipeline.

Description
Description

DOF: 25–45 (configurable)

Weight: ~35 kg+

Dimensions (standing): 1320×450×200 mm

Dimensions (folded): 690×450×300 mm

DOF legs (one): 6

DOF waist: 1 (optional +2)

DOF arms (one): 5

DOF heads: 2

DOF hands (one): 7 (opt. Dex3-1 + tactile)

Max. Knee torque: 120 N m

Arm load: ≈3 kg

CPU: 8-core

AI module: NVIDIA Jetson Orin NX, 100 TOPS

Sensors: Depth camera + 3D LiDAR

WiFi / BT: WiFi 6, Bluetooth 5.2

Battery: ~2 hours, quick-release

Interface: USB, Gigabit Ethernet, 5/12/24/54.8 V

SDK: RoboCup SDK (Visual, Spatial, Motion Control API)

Simulation: Isaac Gym + Mujoco (Sim2Real)

OTA:Yes

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