LiGrip O2 - Remote Robotic
LiGrip O2 - Remote Robotic
LiGrip O2 - Remote Robotic
LiGrip O2 - Remote Robotic
LiGrip O2 - Remote Robotic
LiGrip O2 - Remote Robotic
GreenValley International

LiGrip O2

  • Handheld SLAM LiDAR
Contact us for pricing
Contact us for pricing

Proof of concept program

Remote Robotic helps enterprise and public-sector teams validate advanced robotics solutions—drones, UGVs, ROVs, docking systems, and sensors—through a hands-on Proof-of-Concept (POC) program.

Designed for utilities, public safety, mining, energy, and large industrial organizations that need clarity, ROI, and operational certainty before investing.

Learn more and apply

120 min operation time
IP64 Rated
Absolute Accuracy < 3cm
2.2 kg with base and battery
300 m LiDAR range
Handheld SLAM LiDAR
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The LiGrip O2 Lite is a next-generation handheld SLAM LiDAR system combining multi-sensor-fusion (MLF-SLAM), dual panoramic cameras and a portable form factor to deliver centimetre-level accuracy even in feature-poor environments (e.g., airports, beaches, tunnels).

Ideal for rapid indoor/outdoor surveying, as-built documentation, corridor mapping, tree/vegetation analysis, confined space inspection and handheld deployment workflows.

SYSTEM PARAMETERS

Absolute Accuracy: < 3 cm [1]
Relative Accuracy: < 1 cm [2]
Repeat Accuracy: < 2 cm [3]
Horizontality / Verticality: < 0.015° [4]
Scan Rate: Up to 640,000 pts/s [5]
Range: Up to 300 m [6]
Weight: As light as 2.2 kg [7] (with base and battery)
Single Battery Life: 120 min [8]
Protection Level: IP64
Storage Capacity: 512 GB SSD
Port: Type-C
Control Method: APP / Button
Firmware Upgrade Method: Offline
Operating Temperature: –20°C to 40°C
Device Storage Temperature: –40°C to 70°C
Battery Storage Temperature: Recommended 22°C to 30°C [9]
Power Supply Method: Lithium Battery Powered

LiDAR SENSOR PARAMETERS

Supported Laser Models: XT16, XT32, XT32M2X
Laser Wavelength: 905 nm
Scan Rate: 320,000 pts/s, 640,000 pts/s
Detection Range: 120 m, 300 m
Field of View (FOV): 280° (Horizontal) × 360° (Vertical)
LiDAR Accuracy: 0.5 cm
Safety Level: Class 1 (Eye-Safe)

CAMERA PARAMETERS

Number of Cameras: 5
Panoramic Cameras: 12 MP × 3
Visual Cameras: 1.3 MP × 2
Frame Rate: Adjustable

IMU PARAMETERS

Output Frequency: 200 Hz
Post-Processing Position Accuracy:

  • Horizontal: 0.005 m
  • Vertical: 0.01 m

Post-Processing Attitude Accuracy:

  • Roll/Pitch: 0.003°
  • Heading: 0.01°

MAPPING METHOD

Mapping Principles: MLF-SLAM, PPK-SLAM, RTK-SLAM, SLAM
Real-Time Processing: Supported
Real-Time Colorization: Supported

OUTPUT SPECIFICATIONS

Colored Point Cloud: LAS, LiDATA
Panoramic Images: Imglist + JPG
MESH: LOD-OSGB
Gaussian Splatting: lisplat, PLY

TELESCOPIC POLE ADAPTER

Weight: 300 g
Supported Telescopic Pole Diameter: 25–25.5 mm
Compatibility: LiGrip O Series (Includes O1 Lite and O2 Lite)

FRONTPACK KIT PARAMETERS

Weight: 2.1 kg
Outer Packaging Dimensions: 560 × 340 × 160 mm
Compatibility: LiGrip O Series (Includes O1 Lite and O2 Lite)

BACKPACK KIT PARAMETERS

Weight: 3.9 kg
Dimensions: 580 × 303 × 145 mm
Dual Battery Power Display: Supported
Hot Swap: Supported
Compatibility: LiGrip O2 Series

  • LiGrip O2 LiDAR unit
  • Smart battery
  • Base stand
  • Charger
  • USB drive
  • Protective cover
  • Mobile phone holder
  • Carrying case
  • USB Data cable

Remote Robotic is a North American authorized dealer for GreenValley International LiGrip O2.

Your purchase includes the full standard manufacturer warranty, and we also offer optional support programs to help protect your equipment and keep it performing at its best.

Learn more about Extended Care Program

LiGrip O2 user manual

We offer training for all robotic solutions

Learn more

LiGrip O2 FAQ

Yes — thanks to the MLF-SLAM algorithm and integrated cameras/LiDAR fusion, it delivers high‐accuracy even in minimal-feature environments like water edges or sandy terrain.

Telescopic pole mounting, RTK module upgrade, front-pack and backpack setups for hands-free or extended collection workflows. Contact us to build your package.

Absolute accuracy under good conditions can be < 3 cm; repeat/relative accuracy ~2 cm. Users should validate with their workflow and environment.

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