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Wall-E version 2.3

Code repository for Wall-E_v2.3

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Table of Contents

About the Workshop

Wall-E bot simulation

Wall-E Bot Self-Balancing Wall-E Bot with OLED Display

How do you make a robot follow a line? Now what if the robot has only two wheels. How will it balance and follow the line? This is exactly what is taught in the Wall-E workshop. The Wall-E workshop focuses on the concepts of line-following and self-balancing, using ESP32, a powerful micro-controller with features like inbuilt Wi-Fi support and BLE, with extensive application in several domains like IoT, RF, etc. The workshop entails various essential concepts such as PID Control, Embedded Communication Protocols, PWM, Filters, RTOS, etc. and gives its attendees (first-year students) a general idea about the world of robotics and embedded hardware. Following are some of the highlights:

  • The custom-made SRA Development Board & ESP32.
  • ESP-IDF, the official IoT Development framework by espressif.
  • Motor Control with PWM and PID.
  • Accelerometer , gyroscope and complimentary filter.
  • Communcation protocols ( UART , SPI , I2C )

Installation

Examples

TOPIC Link Description
LED Blink LED_Blink Performing LED Blink by connecting the LED with esp32
Light Sensing Array LSA Sensing Array that uses different Light Sensors, majorly used for Line-Following
MPU6050 MPU Motion controlled MPU measures angles with respect to 6 Degrees of Freedom
Switch controlled motor in normal mode Normal_Mode Controls the movement of Bot manually using switches connected in normal mode
Switch controlled motor in parallel mode Parallel_Mode Controls the movement of bot manually using switches connected in parallel mode
Pulse Width Modulation PWM Calculate average voltage and controls speed accordingly
Line-Following Line_Following Line-Following algorithm that enables the bot to follow the path of white line
Self-Balancing Self_Balancing Self-Balancing algorithm that enables the bot to balance its weight under the force of gravity

Resources

SRA development board

Contribution

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are extremely appreciated.

  • See the open issues for a list of proposed features (and known issues).
  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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