Abstract: “Flight route planning is a critical aspect of modern aviation, requiring optimization based on time and cost. This paper compares two pathfinding algorithms-Backtracking and Dijkstra's ...
Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...
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 ...
Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...
The state of South Australia already has 75% solar and wind electricity averaged over a year. It has no coal, hydro or nuclear, and is joined to the eastern states with skinny interconnections. South ...
In a significant advancement for autonomous farming technologies, researchers at San Jose State University have developed a machine learning-powered rover designed to revolutionize pistachio farming ...
A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why. Credit...Erik Carter Supported by By Cade Metz and Karen ...
Imagine if all of our cars could drive themselves – autonomous driving is becoming possible, but to what extent? To get a vehicle somewhere by itself may not seem so tricky if the route is clear and ...
This project implements a maze pathfinding solution where an assassin ('A') navigates through a maze while avoiding walls and guards. The guards' vision marks certain cells as "observed," which the ...
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