CLion is a cross-platform C/C++ IDE that natively supports CMake (which ROS Catkin is based on), and also supports Python code. Creating or opening ROS projects within CLion makes it easy to debug code, execute nodes, and view packages and classes within a ROS workspace in an intuititve way. More details on the setup can…Read more Setting up CLion for ROS
When the RealSense stops connecting
The RealSense D435 RGBD camera is generally very robust and reliable. It can however fail to connect and display the image and depth frames. When this happens, hardware notification errors appear in the realsense-viewer software as shown below. Usually this is caused by a connection issue, such as trying to use USB 2 with the RealSense,…Read more When the RealSense stops connecting
3D Computer Vision in ROS
The RealSense D435 camera can be readily set up to publish all the image and pointcloud streams via ROS topics. For an in-depth setup, read Integrating the Intel RealSense D435 with ROS. Once this data becomes available in ROS, processing it via custom nodes requires a larger ROS ecosystem for perception. Three popular 2D/3D computer…Read more 3D Computer Vision in ROS
Integrating the Hokuyo URG Lidar with ROS
The Hukuyo URG is a lightweight, affordable USB powered lidar sensor. It outputs a single planar scan with 240º scanning range at 0.36º angular resolution and scan rate of 100ms/scan. This sensor can be used for, amongst other things, indoor mapping or collision avoidance. There is presently no pre-compiled driver available for ROS kinetic so…Read more Integrating the Hokuyo URG Lidar with ROS
Integrating the Intel RealSense D435 with ROS
The Intel RealSense D435 is the latest RGBD camera available from Intel, and is an upgrade from the Intel R200 camera already discussed in a previous post. The D435 is a stereo depth camera that is designed to work both indoors and outdoors. The 3D reconstruction is constructed using active Infrared (IR) stereo. Setting up the…Read more Integrating the Intel RealSense D435 with ROS
Step-by-step setup of a new laptop for robotics
Setting up a new laptop for robotics can be time consuming. This post will focus on using the Dell Alienware 15 R4 laptop. With its Intel i9 processor and Nvidia GTX 1080 graphics card, it's the perfect laptop for robotics or computer vision projects. Setting up the laptop comprises of two main steps: installing Ubuntu…Read more Step-by-step setup of a new laptop for robotics
Troubleshooting: Rosbuild to Catkin migration
Migrating from Rosbuild to Catkin can be accomplished using the ros-industrial catkinize script as described in Quickly migrating from Rosbuild to Catkin. Although this script attempts to replace rosbuild commands with catkin ones, some errors arise when compiling using the catkin_make command. This troubleshooting guide covers steps to take after catkinizing a package. Update messages…Read more Troubleshooting: Rosbuild to Catkin migration
