3D LiDAR Sensors · serves as: Sensing, Perception, Localization, Obstacle Detection. · compatible with: Mobile Robot, Wheeled Robot, AMR, Autonomous Robot, Warehouse Robot, Research Robot, Humanoid.
Which group RS-LiDAR-32 belongs to and how it is built
3D LiDAR Sensors are a subcategory of sensing components that use laser radiation to measure distance and construct three-dimensional representations of the environment. These sensors are used in robotics for space mapping, localization, autonomous navigation, obstacle avoidance, and building 3D perception systems. Depending on the model, they can provide point clouds with varying resolution, frequency, and range, supporting mobile robots, humanoid platforms, and autonomous systems.
Basic physical properties of RS-LiDAR-32 — dimensions, weight and materials
RS-LiDAR-32 is supported by the official RoboSense SDK (rslidar_sdk) with native ROS 1 and ROS 2 drivers, plus the low-level C++14 rs_driver. The vendor also provides the rs_perception stack (3D detection and tracking) and the RSView visualization tool (Windows/Ubuntu). The sensor integrates natively with Autoware Universe, Apollo Auto, and SLAM frameworks (Cartographer, LIO-SAM, FAST-LIO).
RS-LiDAR-32 is a mechanical, multi-line 3D LiDAR (second generation) developed by RoboSense Technology (Suteng Innovation Technology, Shenzhen). Introduced in 2017, it is a scaled-up version of the RS-LiDAR-16 — with twice the channel count (32 vs 16) and significantly longer range (200 m vs 150 m).
The sensor uses a rotating optical head with 32 independent emitter–detector pairs (905 nm) and time-of-flight (ToF) ranging. Full 360° coverage is achieved through mechanical rotation at 5/10/20 Hz. Vertical FOV is 40° (from −25° to +15°), with non-uniform angular resolution — denser sampling near the horizon (~0.33°), sparser at the edges.
RS-LiDAR-32 is used in L2–L4 autonomous vehicles as a primary or auxiliary 3D perception sensor, in AGV/AMR robots in warehouses and logistics hubs, in SLAM and HD mapping research, on DJI Matrice drones with LiDAR payloads, and in mobile mapping systems for surveying and infrastructure inspection.
Together with Velodyne VLP-32C and Hesai Pandar32, it is one of the three most widely deployed 32-channel mechanical LiDARs in the civilian segment. Chosen for its lower price than Velodyne (around 4–6k USD vs 8–10k USD for VLP-32C in 2019) and a rich software ecosystem.
The sensor communicates over Gigabit Ethernet using UDP protocols (MSOP + DIFOP). It supports GPS time synchronization ($GPRMC + 1PPS) and PTP IEEE 1588. Full integration with ROS 1, ROS 2 (Foxy/Humble/Iron/Jazzy) via rslidar_sdk; direct C++ API via rs_driver; integration with Autoware Universe.
