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Slamtec Lidar Sensor for ROS Robots
WHEELTEC

Slamtec Lidar Sensor for ROS Robots

SKU: SHN0103316
R 2 409,00Ex Tax: R 2 094,78
On backorder — Ships in ~21 working days
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  • Delivery nationwide via The Courier Guy — R150 flat, free over R2,000
  • Free collection from our Milnerton (Cape Town) warehouse
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  • Questions? WhatsApp us on +27 65 900 8570

Description

The Slamtec Lidar Sensor series offers high-precision 360-degree environmental perception, making it an exceptional choice for ROS and ROS2 robotics development. Designed for students, educators, and industrial developers, these sensors provide robust solutions for mapping, navigation, and obstacle avoidance across various environments.

Comprehensive ROS and ROS2 support

Designed specifically for ROS robots, educational research, and intelligent navigation, the entire Slamtec Lidar range supports ROS and ROS2. Developers can easily perform secondary development to integrate these sensors into custom projects.

Comprehensive ROS and ROS2 support

Advanced TOF and triangulation technologies

The series utilizes two distinct ranging principles to suit different budgets and applications. The entry-level A1 model uses triangulation for cost-effective indoor mapping, while the S2 and C1 series leverage Time-of-Flight (TOF) technology for enhanced stability and outdoor performance.

Advanced TOF and triangulation technologies

Versatile hardware lineup

The Slamtec range features distinct form factors tailored to your integration needs, including the ultra-compact C1, the classic A1, and the robust S2, S2L, and S2E models. Each variant is engineered to deliver reliable performance and high durability.

Versatile hardware lineup

Precise scanning and high sample rates

With a full 360-degree scanning range, these sensors offer exceptional detail. The S2 series boasts a sample rate of 32KHz and an angular resolution of 0.12 degrees, while the C1 offers an adjustable scan frequency of 8 to 12Hz.

Targeted application scenarios

These sensors are highly adaptable and widely used in autonomous driving, 2D map reconstruction, and real-time obstacle avoidance. They are also ideal for UAV flight control, AGV navigation, smart homes, and service robots.

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