Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...

Structured DSA courses support gradual learning in the concepts of sorting, trees, graphs, and complexity analysis Coding assessments in interviews for technical roles evaluate execution speed and ...

Abstract: Cargo UAVs have been used in short-distance logistics scenarios in cities, and this paper investigates the path planning problem for multi-user pickup and delivery of UAVs. The UAV takes off ...

The utilization of unmanned aerial vehicles (UAVs) has expanded significantly in recent years across both military and civilian sectors, positioning autonomous and safe flight as a critical research ...

Senior Maya Mann shares her research collecting, analyzing and visualizing data on food and grocery store accessibility in major cities, including Baltimore. Senior Maya Mann’s interest in accessible ...

Standard Dijkstra's algorithm seeks the shortest path between nodes in a graph. For cloud cost optimization, we modify this algorithm to find the minimal-cost pathway through resources, accounting for ...

Advanced Learning Algorithms: This course covers the theory and practice of advanced learning algorithms, such as deep learning, reinforcement learning, and online learning. You will learn how to ...

An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...

SCGraph provides fast, flexible shortest path routing for road, rail, maritime, and custom networks. It ships with prebuilt geographic networks, supports arbitrary graph construction and OSMNx ...

In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky ...