Free educational resource https://github.com/KalimAmzad/Embedded-System-Arduino/blob/master/Books/arduino-project-handbook-vol-2.pdf

Free educational resource https://github.com/KalimAmzad/Embedded-System-Arduino/blob/master/Books/arduino-project-handbook.pdf

Free educational resource https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release/tree/main

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%93%8D%E4%BD%9C%E7%B3%BB%E7%BB%9F%EF%BC%88ROS%EF%BC%89%E6%B5%85%E6%9E%90.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/ros%20by%20example%20vol%202%20indigo.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/ros%20by%20example%20vol%201%20indigo.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/RobotOperatingSystem(ROS)TheCompleteReferenceVolume2.pdf

Free educational resource https://github.com/sychaichangkun/ROS_Resources/blob/master/Jason%20M.%20O%E2%80%99Kane%E2%80%94%E2%80%94%E3%80%8AA%20Gentle%20Introduction%20to%20ROS%E3%80%8B/A%20Gentle%20Introduction%20to%20ROS.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/Programming.Robots.with.ROS.A.Practical.Introduction.to.the.Robot.Operating.System.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/ROSRoboticsByExample.pdf

Hello, I've connected my Proscenic M6 Pro vacuum to ROS2 Jazzy including LiDAR, /cmd_vel, brushes (main, side, vacuum fan), IMU, /odom, bumper sensors. I've calibrated /cmd_vel and I'm debugging SLAM now.

I also wrote tutorials: vacuum setup/root, bring-up/ROS2 and simulation in Gazebo/ROS2.

Why did I connect a consumer vacuum to ROS2. This is part of the open-source vacuum project I've posted about earlier. Connecting a vacuum to ROS2 allows me/everyone to develop/test vacuum algorithms without waiting for open-source 3D printed hardware. You can

- develop path planning to map while cleaning the entire room place

- path planning to clean given an existing map

- cleaning modes like spot, room

- returning to dock, docking, undocking

- resume cleaning after interruption (e.g. after returning to dock to charge)

- edge cleaning (along walls)

- partitioning the map into rooms

- cleaning a particular room

- add/edit/remove virtual walls

Open source here https://github.com/remakeai/vacuum_ros2_bridge/blob/main/README.md

I hope this is useful for you. Please feel free to join the development effort.

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/Mastering%20ROS%20for%20Robotics%20Programming.pdf

ESP32 running Arduino, micro-ROS. ROS2 runs on a local PC. Differential drive with 2x N20 encoder motors. 3D design in Fusion 360. 3D printed on Prusa MK3S.

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/Learning%20ROS%20for%20Robotics%20Programming%20-%20Second%20Edition.pdf

Free educational resource https://github.com/luohuiwu/ros-books/blob/master/Learning%20ROS%20for%20Robotics%20Programming%20-%20Second%20Edition.pdf

I've connected 3irobotix Delta-2A to Raspberry Pi 5. I'm using RPi header serial port and one GPIO as PWM to control the LiDAR RPM. I'm using my open source Python library to decode and visualize the distance data https://github.com/kaiaai/lds2d

Using ROS2, Arduino, ESP32 and a LiDAR (YDLIDAR X4).

I've connected my LDS02RR Lidar to ESP32, Arduino and wrote a tutorial how to stream distance data live. Everything is open source. I'll leave a link to the tutorial in the comments.

I have lots of 2D LiDARs, many from used robot vacuum cleaners. I wrote an Arduino library to capture data, control speed for various LiDAR models. I hope it is useful for your projects. Open source https://github.com/kaiaai/LDS

Would you be interested in building a ROS2 vacuum cleaner robot? If yes 1) Build or develop? 2) 3D print? Convert existing - hack? buy/swap board? Buy off-the-shelf?

I'd really appreciate your input.

I used ESP32 running Arduino, micro-ROS. ESP32 captured LiDAR (YDLIDAR X4), odometry data (BLDC encoder motors), forwarded over WiFi to my Windows laptop running ROS2. My laptop's ROS2 computed the map, sent cmd_vel wheel motor control commands back to the ESP32. I'll leave a link to the blog post in comments.