As a robot software platform, ROS can provide operating system-like functions for heterogeneous computer clusters. For novices or student parties, ROS is less difficult to learn and suitable for entry. For product companies or developers, ROS can quickly do some demos for verification and trial and error, and the cost is low and the effect is good. Therefore, many robot learners, scientific researchers, and developers at home and abroad build robots through the ROS system.
This TARKBOT ROS robot is equipped with the RPLIDAR A1 of SLAMTEC.
The application of RPlidar A1 allows ROS robots to detect the shape and environment of surrounding objects, combined with SLAM algorithms and visual sensors, to help ROS robots realize lidar SLAM map construction, and help subsequent positioning, navigation, and obstacle avoidance.
▲ROS robot uses lidar to build maps
In addition to being used for mapping and navigation, the RPlidar A1 carried by TAKABOT can also realize the object following function of ROS robots. Obtain the position and distance information of the object through the laser LiDAR, and combine the machine vision algorithm to extract the characteristics of the object, such as width and height, so as to realize the accurate tracking of the object by the robot.
▲ Using radar to realize the follow function
The combination of RPlidar and ROS robots has brought new attempts to robot developers. Its excellent performance in robot perception and control, as well as its tight integration with ROS, enable robots to interact with the environment more intelligently and efficiently. SLAMTEC will always join hands with the ROS ecology to help better industrial development.