The document outlines the development of an autonomous industrial delivery robot (AIDR) aimed at improving logistics in industrial settings through automation. It details the challenges faced in the industry, objectives of the robot such as obstacle avoidance and precise delivery, and the components including sensors and motor controls. The report also discusses the advantages, limitations, cost estimation, and future integration possibilities for enhanced performance and efficiency.

1. Autonomous Industrial Delivery Robot
Imran Hossain Chowdhury
ID: 191-141-002
EEE, 44th batch
Presented By
Supervised By
MD Hasanur Rahman Sohag
Lecturer
Department of Electrical and Electronic Engineering
Metropolitan University, Sylhet
Jakia Sultana Noushin
ID:191-141-005
EEE,44th batch
Polash Sharma
ID:191-141-009
EEE,44th batch
1

2. Overview
• Introduction
• Problem Statement
• Objectives
• Solution Approach
• AIDR Prototype Components
• Key System Components
• System Architecture
• Working Process
• Advantages
• Limitations
• Cost Estimation
• Future Integration
• Conclusion
2

3. Introduction
• Advancements in Automation
• Bringing Innovation
• Meet AIDR-Our Smart Robot
AIDR
3

4. Problem Statement
• Challenges In Industrial Logistics
• Complex Route Planning
• Safety & Accuracy
• Smart Solution For Industrial Logistics
4

5. Objectives
• Autonomous Navigation
• Obstacle Avoidance
• Precise Delivery Operations
• Minimize Manual Intervention
5

6. Solution Approach
• Autonomous Navigation
• Sensor Integration
• Precision Motor Control
• Adaptive Algorithms
• Efficiency and Cost Reduction
6

7. AIDR Prototype Components
• Arduino Micro-controller
• Ultrasonic Sensor
• IR Sensor
• Motor Driver
• Batteries
• Wheels
• DC Motors
• Jumper Wires
7

8. Key System Components
Arduino Uno Ultrasonic Sensor
IR Sensor Motor Driver
8

9. System Architecture
Circuit Diagram of AIDR
9

10. Prototype Showcase
Different Views of Prototype
10

11. Working Process
11

12. Advantages
• Increased Efficiency
• Reduced Labor Costs
• Precision & Consistency
• 24/7 Operation
• Improved Safety
• Minimized Human Intervention in Hazardous Environment
12

13. Limitations
• Light Sensitiviy
• Battery Dependency
• Load Size Detection
• Junction Management
• External Interference
13

14. Cost Estimation
Cost Estimation Table
•Precisely documented the
expense associated with each
component to understand the
financial aspect.
14

15. Future Integration
• Advanced Navigation System
• AI Driven Decision Making
• Payload Handling Innovation
• Energy Efficiency & Sustainability
• Real-Time Analytics & Reporting
15

16. Conclusion
16

17. 17