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MECHAutonomous Vehicles & Factory AutomationIntermediate Level

Autonomous Industrial AGV with 2D LiDAR SLAM & Obstacle Avoidance

Differential-drive factory warehouse rover running ROS2 Navigation (Nav2) with 360-degree LiDAR mapping and magnetic line following.

Integrated Technologies:

ROS2Dual DC Gearmotors with EncodersRaspberry Pi 4RPLidar A1L298N / BTS7960 Driver

AUTONOMOUS ROVER PROTO

ROBOTICSECE • ACTIVE

Reference-Locked

Project Overview

Engineered for autonomous factory material transport. Equipped with an RPLidar sensor, high-torque planetary gear motors with optical quadrature encoders, and an onboard single-board computer running ROS2 SLAM Toolbox to map industrial floorplans and deliver loads up to 15 kg.

Problem Statement

Proposed Solution

Differential-drive factory warehouse rover running ROS2 Navigation (Nav2) with 360-degree LiDAR mapping and magnetic line following.

Core Project Objectives

1Precision Hardware Data Acquisition

#	Component Name	Purpose	Function in Project
1	ROS2	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
2	Dual DC Gearmotors with Encoders	Electrical Load & Actuation Control	Safely isolates and toggles high-power peripherals based on microcontroller logic.
3	Raspberry Pi 4	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
4	RPLidar A1	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
5	L298N / BTS7960 Driver	Electrical Load & Actuation Control	Safely isolates and toggles high-power peripherals based on microcontroller logic.

Autonomous Industrial AGV with 2D LiDAR SLAM & Obstacle Avoidance

Project Overview

Core Project Objectives

Key Features & Capabilities

Hardware Components Specification

How It Works — Step-by-Step Execution

Sensor Transduction & Conditioning

Microcontroller Algorithm Processing

Local Actuation & Relay Control

Cloud Dashboard Telemetry Streaming

Real-World Applications & Industry Deployment

Academic Research & IEEE References

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