Unitree L2 4D LiDAR Navigation Obstacle Avoidance slam 360° Depth Scan

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Please note: This device is the China version and will come with an EU plug adapter. Provide a complete open-source SLAM solution Utilize only L2 and its built-in IMU, without empl oying other positioning sensors, to map using the POINT-LIO algorithm. (Click to download software resources and point cloud data) Features 360° × 96° Ultra‑wide‑angle scanning 0.05m Near blind spot 30m Range @90% reflectivity 64,000 points/s Effective frequency 2cm Measurement accuracy 230g Lightweight design ENET / UDP / TTL / UART Communication interface 75 × 75 × 65mm Compact size Indoor whole-house dynamic scanning The Unitree L2 enables rapid and precise acquisition of a home’s complete 3D structural data, supporting accurate positioning and autonomous navigation for mobile robots. It also empowers robots to extend their capabilities to diverse tasks such as whole‑house cleaning and organization. Outdoor real-scene dynamic scanning Unitree L2 can effectively resist interference from indoor ambient light and outdoor strong light. Even under intense outdoor illumination of 100Klux, it achieves stable ranging and high‑precision mapping. Non-repetitive scanning Unitree L2 achieves high‑precision and high‑density point cloud data through omnidirectional ultra‑wide‑angle non‑repetitive scanning, delivering photograph‑level scanning effects. Parameter comparison Parameter Unitree L2 A Depth Camera A Wide-angle 3D Radar FOV 360° × 96° 86° × 57° (±3°) 120° × 75° Non-repetitive scanning Supported (√) x x Scanning method Non-contact brushless rotating mirror Global shutter Solid or quasi-solid state CPU consumption Extremely low High High Scanning distance 30m 4-5m 30m Nearby blind area 0.05m 0.1m 0.3m IMU 3-axis acceleration + 3-axis gyroscope x x Power 10W 5W 12W Size (mm) 75 × 75 × 65 90 × 25 × 25 100 × 130 × 65 Weight 230g About 100g About 500g Technology Laser TOF Infrared binocular Laser TOF Pack List No. Item Description 1 Unitree 4D LiDAR-L2 Main LiDAR sensor device 2 L-shaped Hex Key Wrench For installation and adjustment 3 Rubber Pad Shock absorption and stability 4 Adapter Module Interface conversion support 5 Data Cable For communication and power 6 Power Adapter Standard power supply unit 7 M3 Screws Mounting hardware 8 EU Power Plug Converter European standard plug adapter Latest Official Unitree L2 Information Reviewed against Unitree's current official L2 information, Unitree L2 is a compact 4D LiDAR for robot perception, mapping, navigation, and obstacle-avoidance development. Its laser ToF sensing architecture combines a non-repetitive scan pattern, wide field of view, and a built-in six-axis IMU for mobile-robot point-cloud capture. The official L2 specification lists 360° × 96° coverage, a 0.05 m near blind spot, and a stated 30 m range at 90% reflectivity. Together, these parameters give a robotics integration team a broad spatial view while retaining close-range environmental data. Real detection results remain dependent on target reflectivity, geometry, mounting position, operating conditions, and the full robot software stack. Unitree also specifies 128,000 points/s sampling and 64,000 points/s effective point output. The device provides 3D position plus 1D grayscale data, supports 2D mode, and exposes Ethernet UDP and TTL UART interfaces for system integration. Your browser does not support the video tag. Official Unitree L2 animation: non-contact rotating-mirror scanning mechanism. Current Official Specifications Parameter Official L2 Value Sensing method Laser ToF Field of view 360° × 96° Measurement range 30 m at 90% reflectivity Near blind spot 0.05 m Point rate 128,000 points/s sampling; 64,000 points/s effective Scan frequencies 5.55 Hz circumferential scanning, with customizable adjustment; 216 Hz vertical scanning Measurement accuracy ≤ 2.0 cm Distance resolution 4.5 mm Data and interface 3D position + 1D grayscale, with 2D mode support; ENET UDP / TTL UART IMU and scan method 3-axis acceleration + 3-axis gyroscope; non-contact brushless rotating-mirror, non-repetitive scanning Strong-light capability > 100 Klux Human-eye safety Class 1, IEC 60825-1:2014 Size and weight 75 × 75 × 65 mm; 230 g Unitree notes that parameters can vary by application scenario and LiDAR configuration. Use the current official documentation for final electrical, mechanical, and software integration decisions. SLAM and Software Integration Unitree states that the L2 and its built-in IMU can be used with the Point-LIO algorithm to form an open-source SLAM workflow without an additional positioning sensor. The existing Point-LIO link in the original description remains available for the official software resources and point-cloud data. Point-cloud data: The official L2 data format combines 3D position information with 1D grayscale, and supports a 2D operating mode when that form of data is required by the integration. Motion information: The integrated IMU includes a 3-axis accelerometer and a 3-axis gyroscope, providing the motion input referenced by Unitree for the Point-LIO workflow. Development path: Unitree provides the UniLiDAR SDK2 with C++, ROS, and ROS2 packages so that a team can begin from the official interface and software examples. Deployment and Application Context Unitree presents L2 for robot perception tasks that benefit from continuous three-dimensional environmental information. The following applications reflect the official use scenarios and should be validated against the complete robot design before deployment. Indoor mapping and navigation: Whole-house point-cloud capture can support positioning and autonomous navigation workflows for mobile robots. Outdoor real-scene capture: Unitree describes stable ranging and high-precision mapping under strong outdoor light conditions, subject to the operating environment. Logistics and warehousing: The official L2 deployment examples include robot installations for warehouse and logistics environments. Intelligent distribution: Wide-angle environmental scanning can be integrated into robotic distribution and delivery platforms. Cleaning and service robots: Unitree highlights whole-house structural information as a resource for cleaning and organization robot functions. Industrial, agricultural, and smart-factory robots: Unitree also presents intelligent industry, agriculture, and smart-factory deployment examples. Official L2 Point-Cloud Visuals These official L2 visuals illustrate indoor and outdoor point-cloud capture contexts. The images are kept at responsive proportions with a maximum display width of 1920 px to avoid image stretching. Official indoor whole-house point-cloud visual for mobile-robot environment capture. Official outdoor real-scene point-cloud visual under an environmental scanning scenario. Reference Documents Unitree 4D LiDAR L2 User Manual (PDF) - official product documentation for L2 use and integration. Official L2 Download Center, 3D Model, and Point-Cloud Data - Unitree's L2 resource hub. Official Unitree UniLiDAR SDK2 with ROS and ROS2 Packages - official SDK and robotics software resources. FAQ .unitree-l2-faq details { border-bottom:1px solid #e6eef8; padding:14px 0; } .unitree-l2-faq summary { list-style:none; cursor:pointer; font-size:16px; font-weight:700; color:#1f2933; position:relative; padding-right:32px; } .unitree-l2-faq summary::-webkit-details-marker { display:none; } .unitree-l2-faq summary::after { content:""; position:absolute; right:8px; top:50%; width:8px; height:8px; border-right:2px solid #007fff; border-bottom:2px solid #007fff; transform:translateY(-65%) rotate(45deg); transition:transform 0.2s ease; } .unitree-l2-faq details[open] summary::after { transform:translateY(-35%) rotate(225deg); } .unitree-l2-faq p { margin:12px 0 0; color:#4b5563; line-height:1.65; } 1. What is the Unitree L2 LiDAR used for?Unitree L2 is a compact 4D LiDAR for robot perception, point-cloud capture, mapping, navigation, and obstacle-avoidance development. Unitree presents it for mobile robotics scenarios including indoor navigation, logistics, distribution, cleaning robots, and smart-factory applications. 2. What are the L2 field of view and stated measurement range?The official L2 specification lists a 360° × 96° field of view, a 0.05 m near blind spot, and a stated maximum range of 30 m at 90% reflectivity. Actual detection performance depends on reflectivity, target geometry, mounting, and environmental conditions. 3. Does L2 support Point-LIO SLAM with its built-in IMU?Yes. Unitree states that L2 and its built-in IMU can be used with the Point-LIO algorithm for an open-source SLAM workflow without another positioning sensor. A complete robot system still requires suitable mounting, calibration, software configuration, and validation. 4. Is software available for ROS and ROS2 development?Yes. Unitree provides the official UniLiDAR SDK2, including C++ SDK resources and ROS and ROS2 packages. Use the linked official SDK and current documentation when preparing an integration. 5. Can the L2 be used for outdoor scanning?Unitree describes L2 for indoor and outdoor use and lists a strong-light capability of more than 100 Klux. Outdoor performance should be evaluated on the real robot and site because lighting, weather, target material, and installation affect results. 6. What point-cloud data does L2 output?The official L2 parameter table lists 3D position + 1D grayscale data and support for a 2D mode. This gives developers a documented data basis for perception and mapping workflows. 7. Which communication interfaces are available?L2 is specified with ENET UDP and TTL UART communication interfaces. Confirm cable routing, power design, controller compatibility, and the current manual before final integration. 8. How fast does L2 scan and what is its measurement precision?Unitree lists 128,000 points/s sampling, 64,000 points/s effective output, 5.55 Hz circumferential scanning with customizable adjustment, 216 Hz vertical scanning, 4.5 mm distance resolution, and ≤ 2.0 cm measurement accuracy. 9. What safety classification does L2 have?Unitree lists the L2 as Class 1 under IEC 60825-1:2014 for human-eye safety. Follow the official manual and applicable local rules for all installation and operating decisions. 10. Where can I find the official manual, 3D model, SDK, and point-cloud resources?The Reference Documents section above links the official L2 user manual, Unitree download center, and UniLiDAR SDK2. The original Point-LIO resource link near the top of this description remains available for the official SLAM project and point-cloud data. Show more