Electronics. Mobile Robots with Artificial Intelligence Based on Arduino
A guide for beginner builders written in the form of practical projects for building mobile robots, for which the popular Arduino platform and a unified basic two-wheeled design have been selected. The complexity of the projects ranges from a simple...
remote-controlled «car» to robots with elements of artificial intelligence. It explains how to control motors, assemble mechanics and electronics, program basic functions, and operate the robot. The robots will be able to navigate obstacles, escape from mazes, and detect and recognize traffic signs. In the fourth edition, compared to the third, published under the title «Mobile Robots Based on Arduino», modern ideas for upgrading robots are offered. The use of the Arduino and ESP32-CAM combination is considered, allowing the robot to «see» the surrounding world using a digital camera and control robots through a web interface. It shows how the robot detects and recognizes traffic signs using machine learning based on Edge Impulse artificial intelligence technology. The electronic archive on the publisher's website contains listings, libraries, and programs for Arduino, ESP32, and SPBot. For readers interested in electronics and robotics
A guide for beginner builders written in the form of practical projects for building mobile robots, for which the popular Arduino platform and a unified basic two-wheeled design have been selected. The complexity of the projects ranges from a simple remote-controlled «car» to robots with elements of artificial intelligence. It explains how to control motors, assemble mechanics and electronics, program basic functions, and operate the robot. The robots will be able to navigate obstacles, escape from mazes, and detect and recognize traffic signs. In the fourth edition, compared to the third, published under the title «Mobile Robots Based on Arduino», modern ideas for upgrading robots are offered. The use of the Arduino and ESP32-CAM combination is considered, allowing the robot to «see» the surrounding world using a digital camera and control robots through a web interface. It shows how the robot detects and recognizes traffic signs using machine learning based on Edge Impulse artificial intelligence technology. The electronic archive on the publisher's website contains listings, libraries, and programs for Arduino, ESP32, and SPBot. For readers interested in electronics and robotics
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