Unitree Depth Camera

Key Features & Capabilities:

• Precise 3D Environmental Mapping: Captures accurate depth data, enabling the robot to create real-time 3D maps (SLAM) of its surroundings for navigation.
• Intelligent Obstacle Avoidance: Essential for detecting obstacles, calculating their distance and position, and adjusting the robot’s movement trajectory for safe and dynamic traversal.
• High-Resolution Imaging: Delivers clear depth and visual streams, often featuring resolutions up to $1280\times 720$ at $30\text{fps}$ (or higher, depending on the specific model/integration, like the Intel RealSense D435i variant).
• Wide Field of View (FOV): Provides broad spatial coverage, minimizing “blind spots” and ensuring the robot can perceive a large area effectively for comprehensive situational awareness.
• Enhanced Robotic Autonomy: The depth data is fundamental for complex robotic applications, including:
  • Vision-based Autonomous Following
  • Object Recognition and Interaction
  • Humanoid Robot Manipulation (for models like the G1)
• Seamless Integration: Designed to work with the Unitree control systems, often leveraging robust and proven technology (such as the Intel RealSense series) for reliable data acquisition.
• Development Ready: Supports secondary development and integration via Unitree’s SDKs and APIs, making it an indispensable tool for researchers and developers in robotics, AI, and computer vision.

Whether your Unitree robot is performing inspection, research, or complex maneuvers, the Depth Camera provides the visual foundation for it to understand and expertly navigate the real world.