Unitree Go2

Unitree Go2

Price: N/A

Category: Unitree

New Creature of Embodied AI

The Unitree GO2 is the world's most capable and accessible quadruped robot — a four-legged platform that brings professional-grade legged locomotion, AI perception, and autonomous navigation to education, research, and real-world applications at a price point that was unimaginable just a few years ago. It remains the most accessible high-performance legged robot on the market. Fast, agile, and built to handle complex terrain, the GO2 is equally at home in a university lab, a public demo, or an inspection task in the field.

Ideal for: STEM and robotics education, autonomous navigation and SLAM research, human-robot interaction studies, AI algorithm development and deployment, field inspection prototyping, and public demonstrations and events.

Technical Specifications

Physical

  • Standing size: ~700 × 310 × 400 mm
  • Weight (with battery): ~15 kg
  • Materials: Aluminum alloy + high-strength engineering plastics

Performance

  • Maximum joint torque: 45 N·m
  • Maximum speed: up to 3.7 m/s (18 km/h)
  • Obstacle climbing: up to 16 cm step height, up to 40° ramps
  • Payload: up to 7–8 kg

Battery

  • Standard: 8,000 mAh / 28.8V — ~1–2 hours runtime
  • Optional extended pack: 15,000 mAh — 2 to 4 hours runtime

Perception

  • 4D LiDAR L2: 360° × 96° hemispherical ultra-wide recognition, minimum detection distance 0.05 m
  • Intel RealSense D435i depth camera (EDU versions)
  • Foot force sensors, tracking sensor
  • Built-in microphone and speaker

Computing

  • GO2 Pro: 8-core high-performance CPU
  • GO2 EDU: NVIDIA Jetson Orin Nano 8GB — 40 TOPS
  • GO2 EDU Plus: NVIDIA Jetson Orin NX — 100 TOPS

Connectivity

  • Wi-Fi 6, Bluetooth 5.2, 4G module (EDU Plus)
  • Remote control range: 30+ m
  • Ethernet (EDU versions)

Software & Development

  • ROS / ROS2 compatible (EDU versions)
  • Full SDK access: C++, Python (EDU versions)
  • Reinforcement learning support
  • Autonomous SLAM mapping and waypoint navigation
  • OTA firmware updates
  • Simulation environment compatibility


To place an order, please send an email jenny@mindpowerlb.com or contact us via WhatsApp 9613075309 .

Note: Cash payment is required, no online payment.