Unitree Go2 Quadruped Robot Dog

Overview 

The Unitree Go2 is a next-generation AI-powered quadrupedal robot dog engineered for education, research, exploration, and interactive robotics applications. Designed with advanced sensors, intelligent mobility, and powerful computing, Go2 delivers high-performance legged locomotion at an accessible price point. 

With its combination of AI decision-making, real-time environment awareness, and multi-terrain agility, the Unitree Go2 has become a benchmark platform for STEM programs, robotics labs, software development teams, and enthusiasts who want to push the boundaries of robotics and automation. 

Key Features 

AI & Intelligent Control 

The Go2 integrates advanced perception and intelligent motion planning for high-accuracy navigation and behavior. With AI-enabled interaction and continuous software updates, the robot evolves over time, unlocking new capabilities and features. 

Advanced Sensor Suite 

Equipped with wide field-of-view LiDAR, HD cameras, IMU sensors, and foot force detection, the Go2 perceives terrain, obstacles, and movement patterns with precision. These sensors enable climbing, jumping, self-stabilization, and dynamic terrain adaptation. 

High Mobility & Terrain Agility 

The quadrupedal design allows the Unitree Go2 to move naturally across uneven surfaces, urban environments, and interior spaces. Its high torque joint motors and responsive control system offer rapid acceleration, smooth walking, jogging, and dynamic transitions. 

Flexible Connectivity & Integration 

Designed for developers and research groups, Go2 supports multiple connectivity options such as WiFi, Bluetooth, and optional cellular. It also supports programming APIs and tools for autonomous navigation, mapping, and computer vision workloads. 

Remote Interaction & Control 

The Go2 can be operated via mobile app, joystick, or autonomous behavior routines. Remote monitoring, user-friendly control modes, and intelligent follow capabilities make the robot highly interactive and easy to deploy. 

Use Cases

• STEM Education Programs
  Perfect for universities, research institutions, and robotics education centers exploring AI, motion control, computer vision, and autonomy.
• Robotics Research & Development
  Supports SLAM, mapping, gait behavior studies, sensor fusion, reinforcement learning, and multi-agent robotic systems.
• Exploration & Inspection
  Capable of navigating dynamic indoor or outdoor environments for mapping, surveying, and remote exploration tasks.