A new algorithm is set to speed up path planning on large maps by a factor of 1000, with potential for robotics, logistics ...

Abstract: The increasing deployment of autonomous robots in intralogistics has significantly enhanced operation efficiency and throughput. However, dynamic and uncertain environments introduce ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...

This project implements a random maze generator and visualizes the solution using the A* pathfinding algorithm. It generates a maze, saves it as a PNG image, and highlights the path found by A*. The ...

Data company RealPage is confronted with state and local efforts to ban its algorithmic pricing system for landlords in the rental-apartment market. Now, a provision buried in House Republicans’ mega ...

Abstract: Multi-Agent Path Finding (MAPF) focuses on navigating agents along cost-efficient and conflict-free paths. This letter investigates a challenging and practical MAPF variant, namely Robust ...

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...