LDROBOT D500 LiDAR Kit – Advanced 3D Sensing for Robotics & SLAM
The LDROBOT D500 LiDAR Kit is a high-precision, professional-grade sensing solution designed for robotics, automation, mapping, and SLAM (Simultaneous Localization and Mapping) applications. Engineered for accuracy and reliability, the D500 delivers stable real-time distance measurements and wide-angle scanning, making it ideal for both research and real-world deployments.

Whether you are building an autonomous robot, an indoor navigation system, or experimenting with AI-based perception, the D500 LiDAR provides the performance and flexibility needed by makers, engineers, and developers.
Key Features
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High-precision LiDAR sensor for accurate distance measurement
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360° scanning capability for mapping and navigation
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Plug-and-play USB interface – easy to set up and integrate
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Supports ROS, Python, and C++ development
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Compact and lightweight design for mobile robots and drones
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Compatible with Arduino and Raspberry Pi
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Ideal for research, education, and robotics startups
1. High-Precision Distance Measurement
The D500 LiDAR offers accurate and consistent ranging, enabling precise environment perception. This is critical for obstacle avoidance, indoor navigation, and detailed map generation.
2. Wide Scanning Range & Fast Data Output
With a wide scanning angle and high sampling rate, the sensor captures dense point-cloud data in real time. This ensures smooth SLAM performance and reliable detection of dynamic obstacles.
3. Stable & Reliable for Long-Term Use
Designed for continuous operation, the D500 delivers low-noise, stable data, making it suitable for research labs, industrial automation, and long-running robotics projects.
4. Plug-and-Play Developer Friendly
The kit supports ROS, Python, and Arduino, allowing quick integration into existing platforms. Minimal setup time means you can focus on development instead of configuration.
5. Perfect for Education & Research
From university labs to AI research projects, the D500 LiDAR is widely used for teaching robot perception, mapping, and autonomous navigation.
Applications
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Autonomous Mobile Robots (AMR)
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SLAM & Indoor Mapping
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Autonomous Vehicles (Indoor / Research)
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Drones & UAV Research
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AI & Computer Vision Projects
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Academic & Industrial R&D
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