tvilight4 / Wifi_control_bot

WIFI CONTROL BOT

Table of Contents

• [Project](# WIFI CONTROL BOT)
  • Table of Contents
  • About The Project
  • Demo
  • File Structure
  • Getting started
  • Future Work
  • Contributors
  • Acknowledgements and Resources
  • License

About

In this project, we will set up a wifi server and control the bot using our phone

Project Workflow

• learn to make and design a joystick webpage to help users control the bot
• testing the webpage by checking if the coordinates are correctly updated on the terminal.
• understand the line following the code of wall e .
• structuring an algorithm for controlling motor speeds according to the readings from the joystick webpage.
• testing whether the bot is stopping properly according to the joystick
• giving additional power to specific motors in specific cases for proper turning

DEMO

vid.mp4.mp4

File Structure

├── CMakeLists.txt
├── build
├── frontend
│   └── joystick.html
├── main
│   ├── CMakeLists.txt
│   ├── Kconfig
│   ├── component.mk
│   ├── include
│   ├── line_following.c
│   ├── tuning_http_server.c
│   └── wifi_handler.c
├── partition_table.csv
├── sdkconfig
├── sdkconfig.defaults
└── sdkconfig.old

11 directories, 38 files

Getting Started

Prerequisites

To download and use this code, the minimum requirements are:

• ESP_IDF
• Windows 7 or later (64-bit), Ubuntu 20.04 or later
• Microsoft VS Code or any other IDE

Installation

Clone the project by typing the following command in your Terminal/CommandPrompt

git clone https://github.com/tvilight4/Wifi_control_bot.git 

Navigate to the 7_linefollowing

cd 7_linefollowing

Usage

Once the requirements are satisfied, you can easily download the project and use it on your machine. After following the above steps, use the following commands:

To activate the IDF

get_idf

To build the code

idf.py build

To flash the code

idf.py -p (PORT) flash monitor

Future Work

• Implementing better algorithms for turning
• Improve the design and model of the bot
• Achieve more accuracy in turning by adding the self-balancing feature along with the remote controlling

Contributors

• Tvisha Vedant
• Kamakshi Ramamurthy

Acknowledgements and References

• SRA VJTI WALL-E 2023
• Special thanks to our mentors Prit Kanadiya, Smeer Gupta and all the seniors at SRA, VJTI for their constant support and guidance throughout the project.
• Wall-E 2023 Github repository of Wall-E 2023
• Resources from mentor reference joystick webpage.

License

MIT License