9/15/2023 0 Comments Slamtec robotstudio![]() 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. ![]()
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