In this video, I discuss the benefits of using analog sensors over digital sensors, particularly for precise measurements and continuous ranges of values. I then demonstrate how to connect an MCP3008, an 8 channel 10 bit ADC chip, to a Raspberry Pi to read analog sensors, using an eTape sensor as an example and showing how to convert the raw digital output into meaningful units. I then introduce the QT Py ESP32 Pico microcontroller from Adafruit, which has built-in wifi and analog pins, making it a convenient and affordable solution for monitoring sensors remotely.

This video explores the different types of positioning systems that can be used for indoor robots. It begins by introducing the importance of positioning systems in indoor robotics, and then goes on to discuss three main types of systems: IMUs, SLAM, and wireless systems. For each type of system, the video provides an explanation of how it works, its advantages and limitations, and examples of its applications.

The video also touches on the importance of integrating these positioning systems with artificial intelligence (AI) to achieve even greater accuracy and robustness in indoor robot navigation and localization. Finally, the video concludes by discussing the future of indoor robot positioning and the potential for even more sophisticated systems powered by AI.

A quick look at the BIGTREETECH PI4B and Waveshare CM4-NANO-A I/O boards for the Raspberry Pi CM4.

Part 3 of 3 (Use)

Part 1 - Assembly: https://diode.zone/w/iyWHZYVNXd5QPd4JzZNSjK

Part 2 of 3 (Installation)

Part 1 - Assembly: https://diode.zone/w/iyWHZYVNXd5QPd4JzZNSjK

Part 1 of 3 (Assembly)

Part 2 - Installation: https://diode.zone/w/e5A2uJyPEnFDFfEx5XnvzQ

Today we up-cycle a toy truck into a linux powered rover.