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RPLiDAR C1 - DTOF LiDAR 360° Laser Range Scanner (12m, IP54) SLAMTEC
RPLiDAR C1 - DTOF LiDAR 360° Laser Range Scanner (12m, IP54) SLAMTEC
RPLiDAR C1 - DTOF LiDAR 360° Laser Range Scanner (12m, IP54) SLAMTEC
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RPLiDAR C1 - DTOF LiDAR 360° Laser Range Scanner (12m, IP54) SLAMTEC

€79.90 *

incl. VAT plus shipping costs

Delivery time: appr. 1-3 days

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  • F25111098
  • 0,11 kg
  • 16 cm x 10 cm x 6 cm (L x W x H)
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SLAMTEC RPLIDAR C1 - Fusion DTOF LiDAR for precise 360° environment detection The RPLIDAR C1... more

SLAMTEC RPLIDAR C1 - Fusion DTOF LiDAR for precise 360° environment detection

The RPLIDAR C1 is a compact fusion DTOF (Direct Time of Flight) laser scanner for consumer and service robots. It combines high detail detection at close range with a range of up to 12 m (at 70 % reflection) and delivers reliable 360° scans for mapping, navigation, localization and obstacle avoidance.

Highlights at a glance

360° all-round scanning for robust navigation and mapping in a wide range of environments

Range: 0.05-12 m (white/70 % reflection) and 0.05-6 m (black/10 % reflection)

High measurement performance: 5 kHz sampling and 8-12 Hz scanning frequency (typ. 10 Hz)

Reliable in everyday use: anti-interference/anti-adhesion focus and 40,000 lux ambient light tolerance

More data for better perception: position data plus reflection data and "2.5D" information for additional reference points

Eye-safe: laser class 1 (infrared, lower power)

Easy integration: compact, low vibration/low noise; TTL UART interface (460800)

SDK & ROS/ROS2: Support for Windows/Linux (x86) and ARM Linux, incl. ROS/ROS2

Technical data (extract)

Dimensions: 55.6 × 55.6 × 41.3 mm | Weight: 110 g

Angle resolution: 0.72° | Pitch Angle: 0°-1.5°

Accuracy: Range Accuracy 15 mm | Ranging Resolution ±30 mm

Protection class: IP54

Manufacturer link and further details: https://www.slamtec.com/en/C1

Typical areas of application

Household robots (e.g. vacuum robots)

Hobby / education (robotics prototyping, teaching)

Commercial robots, obstacle detection & avoidance, low-speed autonomous vehicles, parking lot monitoring

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