Hey Friends..

I hope you're all doing fine..

In this project I made a DIY Edge Avoider Robot.

Whenever there is an Edge this robot moves back automatically.

Whenever there is no edge this robot works normal with the Android Application.

Want to make yours..?

Watch the video to make yours.

If you like this project do comment on YouTube video, and do not forget to subscribe my channel, link is below

link is : https://studio.youtube.com/channel/UCaXI2PcsTlH5g0et67kdD6g

If you have any doubt regarding this project, you can Telegram me at +919557024177.

If you have any suggestions or project idea, kindly reach out to my channel or Telegram me at above no.

You're most welcome.

Project Perspective

DIY Edge Avoider Robot is a sophisticated exploration of mechanical technology and autonomous interaction. By focusing on the essential building blocks—the IR-reflection threshold-array and synchronized motor-differential-steering logic—you'll learn how to communicate and synchronize navigation tasks using a specialized software logic and robust high-performance setup.

Technical Implementation: Surface Reflection and Obstacle Mapping

The project reveals the hidden layers of simple sensing-to-motion interaction:

• Identification layer: Dual IR Transceivers act as high-resolution spatial eyes, measuring the table's edge via the loss of IR-energy upon reflection.
• Conversion layer: The system uses high-speed digital Pins to receive high-speed bit-states to coordinate mission-critical sensing tasks.
• Motion Interface layer: Four DC Gear Motors provide high-resolution visual and mechanical feedback for vehicle status checks (e.g., Reverse/Pivot).
• Control Interface layer: An HC-05 Bluetooth Module provides a manual control-override or autonomous status check during initial calibration to coordinate status.
• Processing Logic: The Arduino code follows a "fail-safe" (or drive-dispatch) strategy: it interprets the sensor's distance-reflection and matches motor-speeds to provide safe and rhythmic table exploration.
• Communication Dialogue Loop: Status bits are sent rhythmically to the Serial Monitor during initial calibration to coordinate status.

Hardware-Robotic Infrastructure

• Arduino Uno: The "brain" of the project, managing multi-directional sensor sampling and coordinating the motor driver and Bluetooth sync.
• L293D Motor Shield: Providing a clear and reliable "Switching Link" for the drive system.
• IR Sensors: Providing a high-capacity and reliable physical interface for the "Safety Mission."
• Robot Chassis: Provides a clear and professional physical interface for kinetic missions and protects the internal components in the mobile phase.
• 18650 Power Source: Essential for providing clear and energy-efficient 7.4V for the robot.
• Micro-USB Cable: Used to program the Arduino and provides the primary interface for the system controller.

Steps to make this project:

1. Gather components.
2. Take car chassis and make robot car.
3. Place Arduino and L293D motor driver on it.
4. Place both IR sensors.
5. Connect Bluetooth module.
6. Do connections from circuit diagram.
7. Install Android app from below link.
8. Connect Hc-05
9. Open app and then play with car.

Your Project is done.

Do comment on the video and do share it.

Android App link : https://cutt.ly/1EKc75g

Download code and circuit from respective sections.

Robot Automation and Interaction Step-by-Step

The autonomous navigation process is designed to be very efficient:

1. Initialize Workspace: Correctly seat your sensors and motors inside your robot frame and connect them properly to the Arduino pins.
2. Setup High-Speed Sync: In the Arduino sketch, initialize the digitalRead() pins and define the threshold values (e.g., Edge vs Surface) in the setup() function.
3. Internal Dialogue Loop: The system constantly performs high-performance spatial checks and updates the motor status in real-time based on your terrain settings.
4. Visual and Data Feedback Integration: Watch your car's dashboard automatically become a rhythmic status signal, pulsing and following your location settings in the room.

Future Expansion

• OLED Identity Dashboard Integration: Add a small OLED display on the top to show "Surface Type" or "Battery (%)."
• Multi-sensor Climate Sync Synchronization: Connect a specialized "Ultrasonic Sensor" to perform higher-precision "360-Radar Mapping" wirelessly.
• Cloud Interface Registration Support Synchronization: Add a specialized web-dashboard on a smartphone over WiFi/BT to precisely track and log the total exploration distance.
• Advanced Velocity Profile Customization Support: Add specialized "Deep Learning (vCore)" to the code to allow triggers to be changed automatically based on the user's environment!

DIY Edge Avoider Robot is a perfect project for any science enthusiast looking for a more interactive and engaging robotics tool!

[!IMPORTANT] The IR Transceivers require an accurate ambient light offset in the code to avoid false detections on reflective surfaces; always ensure you have an appropriate Fail-Safe flag in the loop if the battery is low!