360° Non-Repetitive Scanning 3D LiDAR

M360 3D LiDAR Sensor for AGV, AMR & Mobile Robots

360° Non-Repetitive Scanning 3D LiDAR

Innovative non-repetitive scanning technology captures richer spatial information per frame. Combined with high-precision ranging and industrial-grade reliability, providing comprehensive 3D perception for autonomous driving, robot navigation, and smart cities.

360° 200kHz 50m IP67 <4.5W
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Core Advantages

Four core technologies for superior 3D perception

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Non-Repetitive Scanning

Each rotation covers different angles, progressively filling the vertical field of view over time for higher spatial resolution and richer environmental data.

FOV 70°×360°
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High-Precision Perception

200kHz point rate, 0.05~50m range (90% reflectivity), ≤2cm accuracy (@10m) for reliable environmental modeling and target detection.

Resolution 0.9°~0.18°
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Industrial-Grade Protection

IP67 rated, -10°C~+60°C wide temperature range for harsh outdoor environments. Only 408g, compact and lightweight.

Only 408g

Low Power Design

Power under 4.5W with built-in IMU. Supports PTP v2 precise time synchronization for convenient multi-sensor fusion.

PTP v2

Technical Specifications

M360 and M360-D dual versions for diverse application needs

Spec M360 M360-D
Scanning TypeNon-repetitiveNon-repetitive
Horizontal FOV360°360°
Vertical FOV-10°~60° (70°)-10°~60° (70°)
Range0.05~50m (90% reflectivity)0.05~50m (90% reflectivity)
Point Rate200kHz200kHz
Range Accuracy≤2cm(@10m)≤2cm(@10m)
Angular ResolutionH: 0.9°~0.18°, V: 0.36°H: 0.9°~0.18°, V: 0.36°
Return ModeSingle ReturnDual Return
ProtectionIP67IP67
Input Voltage12~32VDC12~32VDC
Power<4.5W<4.5W
Dimensions78×78×81mm78×78×81mm
Weight408g408g
InterfaceEthernet×1, CAN×1Ethernet×1, CAN×1
ProtocolTCP/UDP, PTP v2TCP/UDP, PTP v2

Applications

Discover M360 real-world applications across industries

LiDAR vs Photogrammetry: Which Is Better for Handheld 3D Scanning?

Handheld 3D scanner vs photogrammetry — accuracy, cost, speed, and real-world use cases compared. Find out which method fits your project.

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Handheld LiDAR Scanners for Scan-to-BIM: Complete Workflow Guide

Learn how to use handheld LiDAR scanners for scan-to-BIM workflows — from hardware selection and field scanning to point cloud processing in Revit. Practical guide with accuracy benchmarks.

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How to Choose a LiDAR Sensor for a Handheld 3D Scanner

A robotics engineer's guide to selecting the right LiDAR for handheld SLAM scanning — comparing Livox M360, LD19, Pandar40P, and mechanical multi-line options.

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FAST-LIO2 vs R3LIVE vs Point-LIO: Which SLAM Algorithm Fits Your Handheld Scanner?

Compare three HKU-MARS SLAM algorithms for handheld scanning. Which handles fast motion, degraded environments, and colored point clouds best?

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What Sensors Does an Autonomous Forklift Need? A Complete Breakdown

A practical breakdown of every sensor type an autonomous forklift requires — LiDAR, cameras, ultrasonics, IMUs, and encoders — with comparison tables and a selection checklist.

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AGV LiDAR Comparison Matrix 2026: 12 Sensors Tested

Side-by-side specs for 12 LiDAR sensors used in AGVs and AMRs — 2D and 3D, from budget options to industrial-grade. Includes decision framework by use case.

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RoboSense Q1 Robot LiDAR Shipments Surged 1,458%

185,500 robot LiDAR units shipped in Q1 2026. Why pricing is compressing, and what this means for AGV sensor selection.

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How to Choose the Right LiDAR for AGV Fleets: A Data-Driven Selection Framework

A data-driven framework covering 8 hardware parameters, SLAM compatibility, a 3-year TCO model, and a 15-point evaluation checklist for AGV LiDAR selection.

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The Real Cost of LiDAR on Your Robot Fleet: A TCO Breakdown

Why the cheapest AGV LiDAR could cost you 5x more. Our 3-year TCO model reveals downtime, calibration, and hidden costs that spec sheets don't show.

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How to Upgrade Your AMR Fleet from 2D to 3D LiDAR: A Complete Migration Guide

A practical migration guide covering sensor selection, ROI analysis, and step-by-step deployment for switching your AMR fleet to 3D LiDAR. Includes M360, RoboSense Airy, and Hesai JT128 comparison.

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AGV LiDAR Near-Blind Zone: Is 5cm Enough? 6 Sensors Compared

Compare near-blind zone specs of 6 leading LiDAR sensors: M360, MID-360, Hesai XT32, Hokuyo, SICK, and Livox Mid-70. Includes measured data, decision tree, and ISO 3691-4 safety analysis.

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AGV/AMR LiDAR Selection Guide (2026): How to Pick the Right Sensor

Blind zone, FOV, IP rating, dual echo — practical LiDAR selection recommendations for warehouse, factory, and outdoor AGVs.

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2D vs 3D LiDAR: Should Your Robot Upgrade? A Practical Guide

How big are 2D LiDAR blind zones really? Which scenarios justify upgrading to 3D? Cost analysis based on real deployments.

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"Eyes" in Urban Renewal: How M360 LiDAR Solves Survey Challenges

How M360 LiDAR is applied in urban renewal to solve traditional survey challenges, improve mapping efficiency and reduce costs.

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Measure What You See: M360 LiDAR for High-Precision Industrial Scanning

M360 LiDAR in industrial scanning: factory renovation, warehouse modeling, and equipment maintenance for high-precision measurement.

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Substation Inspection: How M360 LiDAR Solves Quadruped Robot Stair-Climbing

Real-world substation inspection: M360 LiDAR solves quadruped robot navigation on 40° steep stairs with 5cm near-blind zone, IP67, and dual-echo penetration.

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After Buying 20+ LiDARs: My Selection Checklist

M360 vs MID-360 comparison: range, blind zone, FOV, power, supply, dual-echo, IP67, IMU with scenario-based recommendations.

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Multi-Device Interference: How M360 LiDAR Solves It

M360 LiDAR anti-interference for multi-device environments: dual-echo penetration, 5cm near-blind zone, IP67 protection.

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Six Months with Campus Delivery Robots: 3D LiDAR Lessons

SmartBotParts M360 vs Livox MID-360 on campus delivery robots: 70° FOV low-profile mount, 5cm near-blind zone, cold/hot temp, dual-echo rain.

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One LiDAR, Five SLAM Algorithms Benchmarked

M360 benchmarked with FAST-LIO2, LIO-SAM, Point-LIO, RT-LOAM, Cartographer: mapping quality, CPU usage, best-fit scenarios.

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Humanoid Robot LiDAR: Head or Waist Mount?

LiDAR mounting for humanoid robots: head vs waist. M360 70° FOV, IP67, dual-echo performance in waist-mount config.

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Outdoor Logistics: Why It's Harder Than Indoor

Indoor AGV pitfalls outdoors: rain noise, high temp power loss, dust. M360 dual-echo rain resistance, 60°C operating temp, IP67 dust protection.

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Video Overview

See M360 product performance and applications in action

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