Lidar-Based Autonomous Navigation Robot

Project Overview

This project focuses on the design and development of an autonomous robot equipped with LiDAR (Light Detection and Ranging) sensors and ultrasonic modules to navigate complex terrains while avoiding unforeseen obstacles. The robot efficiently traverses toward assigned coordinates while dynamically adjusting its path to accommodate real-time environmental changes.

Core Features

Navigation & Sensing

• 360° LiDAR scanning
• Ultrasonic proximity detection
• Real-time obstacle avoidance
• Dynamic path planning
• Position tracking

Test course showing the robot's navigation capabilities.

Technical Implementation

Hardware Components

• Arduino Uno (Main Processing Unit)
• 360° LiDAR Sensor
• Ultrasonic Sensors (HC-SR04)
• High-Torque DC Motors
• Motor Driver (L298N)
• Servo Motors

Main system interface showing sensor data and navigation controls.

Software Architecture

• Custom path-finding algorithms
• Sensor data processing
• Real-time mapping
• Motion control system
• Wireless communication

Technical drawing showing the robot's component layout.

Performance Analysis

Testing Results

• 150ms obstacle detection response
• Accurate navigation to multiple targets
• Reliable obstacle avoidance
• Extended operational time

Key Achievements

• Efficient obstacle detection and avoidance
• Successful autonomous navigation
• Real-time environmental mapping
• Robust sensor integration
• Reliable wireless communication

Future Developments

Planned improvements include:

• Enhanced sensor coverage
• Machine learning integration
• Improved path optimization
• Extended battery life
• Advanced mapping capabilities