Ready-To-Run Robot Car to learn Robot Operating System 2 based on Realsense 3D-camera D435i and x86 computer LattePanda Delta 3
Designed by MXLFRBT in Poland
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What is it? A fully-assembled ready-to-run ROS2 robot car to learn Visual SLAM, localisation, mapping, and navigation powered by Realsense 3D-camera. No solder required! Why did you make it? I find o…
Read More…What is it?
A fully-assembled ready-to-run ROS2 robot car to learn Visual SLAM, localisation, mapping, and navigation powered by Realsense 3D-camera. No solder required!
Why did you make it?
I find out that except JetBot by Nvidia, there are not so many cheap x86 powered robots that you can buy from A to Z just following an instruction manual. Either you have to buy expensive platform like iRobot Create, Husarion, TurtleBot or just has a risk to be stucked in a ROS1/ROS2 building tutorials mess all over the web.
I decided to find a way to make life of a typical x86 ROS-maker easier. For Intel-based processors I found on the web a Robotics SDK. Literally, it is a set of debian packages that you install on your Ubuntu 22.04 system, and can access Intel-proprietary 3D-vision algorithms like CollabSLAM, ADBSCAN, KudanSLAM. I decided to give it a try, and that is how my new robot project got born.
What makes it special?
MIKRIK - is an open-source two-wheel drive robot for robotic enthusiasts who is studying robot vision using 3D-cameras. MIKRIK runs ROS1 on Raspberry to read encoder data, control motors, and creates a ROS1 interface. Then Raspberry can be accessed by ROS2 navigation node running on a LattePanda using ROS1-ROS1 bridge. Control software for Visual SLAM is based on Intel Robotics SDK.
Notes: *MIKRIK robot supports any control board you have at home. If you have Intel NUC or any other x86 Intel CPU NUC portable computer, then you can order version without LattePanda Delta 3 board, and just deploy my setup using my how-to guide on Hackster. You can develop your application using ROS2 instance on Intel NUC, Intel powered x86 board like LattePanda, or Nvidia Jetson/Orin and then just connect it to a robot using a ROS-bridge over Ethernet cable. *
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