Autonomous robots
LiDAR sensor guide for autonomous robots, AMR, UGV and AGV. Technology comparison, range, FoV and ROS support for navigation and obstacle avoidance in mobile robotics.
Key considerations
- ◆Wide field of view and low latency.
- ◆Stable SDK, ROS support and multi-sensor synchronization.
- ◆Mechanical robustness for vibration and dust.
Compatible products
0 compatible products. Filter by technology, range or budget in the table below or use the comparator.
Related articles
Choosing a LiDAR for a mobile robot
A practical method to connect robot scenario, field of view, useful range, latency and software integration before choosing a sensor.
FoV, range, resolution: reading a LiDAR datasheet
How to interpret LiDAR datasheet numbers without being misled by a maximum range or isolated point count.
LiDAR integration checklist before prototyping
A practical checklist to avoid mechanical, electrical, network and data blockers during first LiDAR integration.
LiDAR Technology Families: Mechanical Spinning, Solid-State, Semi-Solid-State, FMCW, and Hemispherical
A comprehensive technical guide to LiDAR architectures — from mechanical spinning to FMCW — covering operating principles, advantages, limitations, and a comparison table.
Integrating a LiDAR in ROS2: Complete Guide
Step-by-step guide to integrate an Ouster, Hesai, Livox or SICK LiDAR into ROS2 (Humble/Iron/Jazzy): driver installation, network setup, PTP, QoS, launch files, RViz2 visualization, SLAM and sensor fusion.
LiDAR FAQ: 20 Questions and Answers to Understand Everything
Everything you need to know about LiDAR in 20 technical questions: range, FoV, solid-state vs mechanical, FMCW, ROS, SLAM, pricing, accuracy, eye safety and more.
Understanding LiDAR Data: Point Clouds, Formats and ROS
Point clouds, intensity, multiple echoes, PCD/LAS/ROSbag formats — everything you need to know to work with raw LiDAR sensor data.
How to choose your LiDAR in 2026: the complete 3D sensor guide
Complete cross-sectional guide to choosing your LiDAR in 2026: technologies (solid-state, MEMS, flash, mechanical), selection criteria (range, FoV, resolution, IP), use cases and budget.
LiDAR Market 2026: Key Figures, Trends and Outlook
Complete analysis of the LiDAR market in 2026: $3.32B revenue, 18.6% CAGR, Chinese production at 4M units/year, robotics explosion (+1458% RoboSense), Physical AI pivot, Ouster REV8, Hesai ATX.
What to replace the Velodyne VLP-16 (Puck) with in 2026?
The VLP-16 is end of life. What alternatives? Hesai XT16 (closest, cheapest), XT32 (32 channels), Ouster OS0/OS1 or Hesai OT128 depending on your needs. Complete comparison, prices, specs, ROS migration.
Ouster OS1 vs Hesai Pandar128: mechanical LiDAR comparison
Technical comparison of Ouster OS1 and Hesai Pandar128: range, resolution, integration, price and use cases.
Livox Mid-360 vs Ouster OS0: compact LiDAR comparison
Mid-360 or OS0? A comparison of field of view, scan pattern, SLAM, integration and budget.
RoboSense E1R vs Hesai FTX: solid-state LiDAR comparison
E1R–FTX comparison for robotics and near-field perception: FoV, range, cloud, integration, price and recommendation.
2026 LiDAR glossary: 9 emerging terms to know
Technical definitions of SPAD-SoC, full-color 6D LiDAR, Physical AI, Active Camera, Smart and Digital LiDAR, native color, coherent LiDAR and Kosmo.
Why LiDAR specifications are not directly comparable
Range, accuracy, FoV, channels, density and IP: a method for comparing LiDAR despite different vendor test protocols.
How to Choose a LiDAR by Project Constraints
LiDAR selection guide based on your project constraints: effective range, environment, FoV, budget, ROS 2 integration and certifications. A practical method to choose the right 3D sensor.
Gaussian Splatting and LiDAR: a practitioner's guide to 3D capture
How 3D Gaussian Splatting transforms LiDAR point-cloud visualisation: standards, tools, hybrid workflows and pitfalls for surveyors, roboticists and engineers.