Abstract: In this study, we investigate an optimal load balancing of cooperative parcel pickup between an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV). By considering practical ...

Abstract: We address the path planning problem for a cellular-enabled unmanned aerial vehicle (UAV) considering both connectivity and battery constraints. The UAV's mission is to expeditiously ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

Automated Guided Vehicles (AGVs) are crucial for enhancing efficiency in logistics automation. To address path planning inefficiencies in complex warehouse environments, an improved A-star algorithm ...

An Open Shortest Path First (OSPF) is a very strong and scalable link-state routing protocol that is extensively utilized in the enterprise networks. The most important thing about OSPF is that it ...

Building a maze-solving robot is an intresting way to get into the world of robotics and autonomous systems. Imagine creating a small device that can intelligently navigate through complex mazes, ...

Automated guided vehicles play a crucial role in transportation and industrial environments. This paper presents a proposed Bio Particle Swarm Optimization (BPSO) algorithm for global path planning.

An algorithm is a set of instructions that are used to solve a problem or perform a computation. Algorithms are typically written in a formal language, such as pseudocode or a programming language.

The major challenge in elastic optical networks is to determine the path of a connection and to allocate spectral resources on the links of this path. This problem consists of two sub-problems, ...