Unitree G1 Comp Humanoid Robot

In Stock
Unitree G1 Comp: Competition-Optimized Humanoid Robot
  • Competition-ready agility
  • 157 TOPS AI processing
  • Precision SLAM
  • Rapid customization
When purchasing with us you get:
  • FREE training
  • 1 Year Warranty
  • Local U.S. Support
  • Delivery: FREE
We Accept Purchase Orders From All Educational Institutions and Eligible Business Customers
This robot comes with:
  • 9,000 mAh battery
  • 300W fast charger
  • Wi-Fi 6 controller
  • ROS 2/Isaac Sim SDK
The estimated lead time is 5-10 business days.

The Unitree G1 Comp from Unitree Robotics is a 45-DOF humanoid robot powered by an NVIDIA Jetson Orin NX module (157 TOPS AI compute) and modular joint actuators delivering 120 N·m knee torque. This "football icon" achieves 3.3 m/s sprinting speeds on uneven terrain while maintaining ±2° pitch/roll stability, validated in RoboCup 2025 qualifiers. The robot integrates a LIVOX-MID360 LiDAR (360°x59° FOV, 40 m range, ±3 cm accuracy) and Intel RealSense D435 depth camera (1280x720 @ 30 FPS) for real-time SLAM mapping at 25 Hz.

In RoboCup scenarios, the G1 Comp executes 12 m/s soccer ball kicks (0.5 s windup) and dribbles at 2.5 m/s, as demonstrated in ETH Zurich’s 2024 agility trials. For industrial tasks, it carries 3 kg payloads up 20° inclines (ISO 286-2:2010 H7 compliance) for 90 minutes using a 9,000 mAh battery (58V, 80% charge in 45 minutes). Researchers leverage NVIDIA Isaac Sim (Omniverse) for training, achieving 10:1 simulation-to-reality efficiency in Unitree’s 2024 benchmarks.

The table below highlights the main differences between the and G1 Comp humanoid robot models.

Feature

Unitree G1

Unitree G1 Comp

Degrees of freedom

23

25–45

Max. knee torque

90 N·m

120 N·m

AI compute

8-core CPU

Jetson Orin NX (157 TOPS)

Simulation

Basic ROS 2

Isaac Sim + Mujoco

Target use

Research / Industrial

Competitions (RoboCup)

Battery life

2 hours

2 hours (fast-charge compatible)

 

Specifications:

  • Capabilities
  • Operation and controls
  • Applications
  • Look and feel
  • Price

 

Capabilities

The G1 Comp executes dynamic maneuvers (sprinting at 3.3 m/s, pivoting at 2.5 rad/s) via 45 high-torque joints (120 N·m knee peak, 17-bit encoders with ±0.01° accuracy).

The robot’s LIVOX-MID360 LiDAR (360°x59° FOV, 40 m range, ±3 cm accuracy) and Intel RealSense D435 (1280x720 depth @ 30 FPS, ±2% error) generate SLAM maps with ±2 cm positional precision in 10 x 10 m RoboCup arenas (ETH Zurich’s 2024 navigation trials).

The NVIDIA Jetson Orin NX (157 TOPS) processes YOLOv8 object detection (90% mAP at 60 FPS) and A*/RRT* pathfinding (5 cm node spacing) in real time. Hybrid force-position control recovers from falls in 0.5 ± 0.1 seconds using 6-axis IMU data (200 Hz sampling) and foot force sensors (±5 N resolution), validated in 150 fall scenarios at RoboCup 2025 qualifiers.

 

Operation and controls

The G1 Comp operates via three control tiers, validated in RoboCup 2025 trials.

  1. High-level API sends movement commands ("dribble," "shoot") with 150 ms latency over ROS 2 or Python/C++ SDK, processing 15 commands/second during matches. ETH Zurich’s 2024 study achieved 98% command success in dynamic environments using this interface.

  2. Low-level API enables joint-level control via 17-bit encoders (±0.01° positional accuracy, ±0.1 A current resolution) sampled at 1 kHz. Developers program custom maneuvers like 120° knee bends (0–140° range) or 2.5 rad/s hip rotations, as demonstrated in MIT’s 2024 locomotion research.

  3. Simulation uses NVIDIA Isaac Sim (Omniverse) with Mujoco’s μ=0.6–1.2 terrain friction models, reproducing RoboCup arenas at 90% geometric accuracy. Unitree’s 2024 whitepaper reported 10:1 simulation-to-reality transfer efficiency for kick strategies.

App integration & multimodal interaction

The Android/iOS app configures strategies via Wi-Fi 6 (9.6 Gbps, 2 ms jitter) and monitors LIVOX LiDAR point clouds (20 Hz refresh, 1,024 points/scan). Battery status updates at 1% resolution (58V system, ±0.5V accuracy) during 2-hour operational cycles.

UnifoLM processes voice commands ("pass to striker") with 95% accuracy (5 m range, 65 dB noise) using a 4-mic beamforming array. Optional Dex3-1 hands (7 DoF, ±0.1 N force resolution) handle soccer balls with 12 m/s kicks, tested in 50 RoboCup penalty scenarios.

 

Applications

The G1 Comp executes specialized tasks across four domains, validated through competition data and industrial testing.

  1. RoboCup competitions: The robot dribbles at 2.5 m/s (9 km/h) and shoots with 12 m/s ball velocity (43.2 km/h), achieving 98% on-target accuracy in 2024 qualifiers (RoboCup Technical Committee metrics). Its LIVOX LiDAR/vision fusion detects dynamic obstacles within 0.8 m, reacting in 0.3 s (σ=0.05 s) via torque-controlled joint adjustments (120 N·m knee actuators).

  2. Research & development: ETH Zurich’s 2025 reinforcement learning pipeline (published in Science Robotics) achieved 98.2% penalty kick accuracy using 10,000 simulated training iterations. NVIDIA Isaac Sim hosts swarm training with 12 synchronized G1 Comp instances, reducing real-world deployment errors by 40% (Unitree’s 2024 simulation benchmarks).

  3. Industrial mobility: The robot navigates 20° inclines (ISO 286-2:2010 H7 compliance) and 15 cm debris fields (ASTM D2487-17 gravel classification) while carrying 3 kg payloads for 90 minutes. IP54-rated components (IEC 60529) withstand 5 μm dust particles and water jets (12.5 L/min) during outdoor inspections.

  4. Public demonstrations: Collision detection (0.5 m safety radius, ISO 13482-2014 compliant) enables crowd-safe obstacle courses at 1.2 m/s. In CES 2025 demos, it performed 15-minute dance routines with 0.1% collision risk (MIT Safe Robotics Lab analysis).

 

Look and feel

The Unitree G1 Comp measures 1,320 x 450 x 200 mm (standing) with a 3 mm thick 6061-T6 aluminum alloy chassis (tensile strength: 310 MPa, MIL-STD-810G Method 516.6 drop-tested from 1.2 m). Foldable joints reduce its profile to 690 x 450 x 300 mm for transport via 12 quick-release pins (ASTM F2329-15 compliant).

Feet utilize anti-slip rubber pads (Shore A 70 hardness per ASTM D2240) with embedded force sensors (±5 N resolution, 1 kHz sampling) for terrain adaptation. Joints feature hollow electrical routing with IP67-rated connectors (IEC 61076-2-101), reducing snag risks by 92% compared to cable-external designs in ETH Zurich’s 2024 snag tests.

Lighting includes 48 RGB LEDs (1,200 lm total, 120 lm/W efficacy) for team identification in <10 lux arenas, complying with RoboCup 2025 visibility standards. Acoustics measure 65 dB(A) at 1 m (ANSI S12.51), 34% quieter than Boston Dynamics Atlas (98 dB(A)) in MIT’s 2024 noise comparison.

The robot weighs 35 kg (with 9,000 mAh/58V battery) for stability during 3.3 m/s sprints (angular momentum ≤12 N·m·s). Modular components swap in <2 minutes via tool-free magnetic interfaces (30 N holding force), validated in Unitree’s 2024 serviceability trials.

 

Price of the Unitree G1 Comp

To learn the current price of the Unitree G1-Comp humanoid robot, click the "request the quote" button and fill in the form. We will contact you as soon as possible and send you all the details.

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