The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees ...

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 ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

We explain how schools are using artificial intelligence. By Evan Gorelick I’m a writer for The Morning. Chatbots have wormed their way into everything: phones, cars, TVs, offices. They’re also in ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

This Python code implements the A pathfinding algorithm* to find the shortest path on a grid with obstacles. The Node class represents each grid cell, storing position, cost, and parent. The AStar ...