Advanced Self-Navigation Algorithms for Autonomous Delivery Robots: Methodology and Results
A. Devi Sri Charan, A. Nasruddin, CH. Devi Vivek, D. Anisha
Under the Guidance of: Prof. Divyeshkumar Hariyani, Assistant Professor
Department of Computer Science & Engineering
Bachelor of Technology
Parul University
Vadodara
Chapter 1 Introduction
In recent years, autonomous robots have gained significant attention due to their potential to revolutionize various industries, particularly logistics and delivery. Traditional delivery methods often face inefficiencies such as traffic congestion, human error, and increased environmental impact due to the use of fuel-based vehicles. Autonomous robots equipped with self- navigation capabilities offer a promising solution by delivering goods faster, with improved efficiency and minimal human intervention. These robots, through the integration of advanced technologies like artificial intelligence (AI), computer vision, and sensor systems, are designed to navigate through complex environments, making real-time decisions to optimize delivery routes and avoid obstacles.
This paper explores the design and implementation of autonomous de- livery robots capable of self-navigation, with a focus on their functionality, system architecture, benefits, and future potential. The robot named NINA (Nimble Intelligent Assistant), developed at Parul University, serves as a case study to demonstrate the feasibility and advantages of this technology in addressing the growing demands of last-mile delivery logistics.
Problem Statement: Traditional delivery systems face several chal- lenges, including traffic delays, high operational costs, and environmental concerns. The reliance on human-driven vehicles and manual labor often leads to inefficiencies that can be mitigated through the use of autonomous robots. The integration of self-navigation systems in delivery robots can overcome these limitations by providing a faster, more reliable, and environ- mentally friendly solution.
Purpose of the Study: This study aims to design, develop, and eval- uate an autonomous robot that can perform last-mile deliveries with min- imal human intervention. By leveraging cutting-edge technologies such as robotics, AI, and sensor systems, this research seeks to address the challenges of traditional delivery methods and propose a scalable, efficient, and sustainable alternative.
Scope of the Study: This paper focuses on the technological devel- opment of autonomous robots for delivery, emphasizing the self-navigation systems that enable them to operate in both controlled and open environ- ments. It also highlights the operational, environmental, and social impacts of deploying such systems on a large scale, with particular attention to their integration into existing delivery networks.
