High-Precision, Cost-Effective LiDAR Solution
The RPLIDAR C1 leverages years of expertise in triangulation and DTOF ranging to deliver exceptional performance in robot positioning, mapping, and navigation. It excels in:
- Ranging Accuracy & Distance Measurement: Ensures precise object detection and path planning.
- Anti-Interference & Anti-Adhesion: Delivers reliable operation in complex environments.
Enhanced Perception Beyond Flat Surfaces
RPLIDAR C1 goes beyond basic position data. It provides:
- Reflectivity Data: Offers additional information for object identification.
- 2.5D Multidimensional Information: Enables a more comprehensive understanding of surroundings.
12m Range & Handles Diverse Objects
With a 12-meter scanning radius and a minimal blind range of 0.05 meters, RPLIDAR C1 effectively navigates and avoids obstacles at various distances.
Compact & Easy Integration
RPLIDAR C1’s compact size simplifies integration into various robotics platforms.
Real-Time Updates & ROS Support
- Fast Scanning: Delivers real-time environmental data for quick decision-making and precise robot control.
- Comprehensive SDK & ROS Support: Facilitates development and integration across different platforms and operating systems (x86 Windows, x86 Linux, arm Linux, ROS, ROS2).
High-Precision Object Detection: Leverages DTOF technology to achieve exceptional high-definition small object recognition capabilities, meeting the environmental perception needs of indoor robots.
Long-Range Detection: With a 12-meter detection range, robots gain a wider “field of view” for enhanced navigation and obstacle avoidance performance.
Full-Range Scanning: 360-degree full-range laser scanning ensures no obstacles go unnoticed.
Sensitive and Interference-Resistant: High sampling frequency of up to 5000 times/second enables precise object recognition even in complex environments, offering strong interference resistance.
Compact and Lightweight: The compact design facilitates easy integration into various robotic platforms, boosting flexibility.
