Autonomous Robot Project Report By: Wageeh William

1. Project Overview:

Objective: To design and implement an autonomous mobile robot capable of both line following and obstacle avoidance for intelligent navigation.

Purpose: Enhance efficiency in automated environments and serve as a versatile educational platform for robotics and AI.

2. Technical Components:

Microcontroller: Arduino UNO / ESP32 (Brain of the robot, processes data and sends commands).

Sensors:

IR Line Tracking Sensors: For detecting and following predefined paths.

Ultrasonic Sensor (HC-SR04): For measuring distances to objects and preventing collisions.

Actuators:

DC Geared Motors: Provide propulsion and steering.

L298N Motor Driver: Controls motor speed and direction based on microcontroller signals.

Chassis: Durable and lightweight acrylic platform for structural integrity.

3. Operational Logic:

Priority-Based Navigation:

Obstacle Detection: If an object is detected within a safe distance (e.g., 15 cm) by the Ultrasonic sensor, the robot executes an avoidance routine (stop, turn, or backup).

Line Following: In the absence of obstacles, IR sensors guide the robot along a designated path, continuously correcting its trajectory.

4. Key Applications (Where it can be found):

Autonomous Vehicles (e.g., in cars):

Concept: This robot serves as a fundamental building block for self-driving car prototypes, particularly in parking assistance systems or maintaining lane discipline.

Location: Miniaturized versions can be integrated into car models for testing navigation algorithms in controlled environments.

Smart Warehouses (e.g., in factories/storage):

Concept: Essential for Automated Guided Vehicles (AGVs) that transport goods along predefined routes, optimizing logistics and reducing human error.

Location: Operating autonomously on warehouse floors, moving between shelves and delivery points, avoiding static and dynamic obstacles.

5. Future Scope:

Integration with IoT for remote monitoring and control.

Advanced AI algorithms for complex decision-making and learning.

Mapping and localization capabilities for unknown environments.