Through the wiki, you can learn about the description and usage flow of the corresponding RPLIDAR products, interfaces and parameters, as well as the latest version information of the current ROS support. This package provides basic device handling for 2D Laser Scanner RPLIDAR A1/A2 and A3. RPLIDAR Application Scenarios Obstacle detection and avoidance Environment scanning and 3D modeling Multi-touch technology and man-machine interaction Robot simultaneous localization and mapping And equipped with SLAMTEC patented OPTMAG technology, it breakouts the life limitation of traditional LIDAR system so as to work stably for a long time. RPLIDAR A3 can take up to 16000 samples of laser ranging per second with high rotation speed.
The generated 2D point cloud data can be used in mapping, localization and object/environment modeling. The system can perform 2D 360-degree scan within 18-meter range. RPLIDAR A2M5/A2M6 is the enhanced version of 2D laser range scanner(LIDAR). The system measures distance data in more than 8000 times per second. RPLIDAR A1M8 is based on laser triangulation ranging principle and uses high-speed vision acquisition and processing hardware developed by SLAMTEC. Right now, there are three kinds of RPLIDAR for different features. RPLIDAR will be a great tool using in the research of SLAM (Simultaneous localization and mapping) The produced 2D point cloud data can be used in mapping, localization and object/environment modeling. RPLIDAR is a low-cost LIDAR sensor suitable for indoor robotic SLAM application. The tutorial for ROS well explains ROS as the open-source software library, it is greatly used by robotics researchers and companies. The combination of the ROS and RPLIDAR will definitely make the robot autonomous positioning navigation better.
RPLIDAR is the ideal cost-effective sensor for robots and hardware researchers and hobbyists. However, as the core sensor of robot positioning navigation, Lidar plays an important role in robot autonomous walking and positioning navigation. Here we go! We’ve prepared a guide with details about how to quickly learn software and hardware for RPLIDAR and apply SLAM in robotic research! A Brief Background of ROS and LidarĪs a robot software platform, ROS provides similar operating system functions for heterogeneous computer clusters and plays an important role in research of robot walking.
Why it’s a good product for research in SLAM (not the NBA news magazine of course!)? What software is recommended for RPLIDAR and robotic applications? As LIDAR becomes more and more popular in different areas, including self-driving cars, robotics research, obstacle detection & avoidance, environment scanning and 3D modeling etc., we’ve also got many inquiries about RPLIDAR recently.
0 kommentar(er)
