Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to understand how it works and the math behind its movements. It ...

To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.

"There was a long period where it was like … is anyone even going to use this?" ...

1 Department of Electrical Engineering, Universidad Autónoma Metropolitana, México City, Mexico 2 Department of Biological Sciences, Idaho State University, Pocatello, ID, United States Introduction: ...

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...

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 ...

A research team from the Institute of Physics, Chinese Academy of Sciences, has developed FastTrack, a new machine learning-based framework dedicated to evaluate ion migration barriers in crystalline ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

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 ...

Abstract: This paper proposes an A* artificial intelligence pathfinding algorithm based on the hexagonal grid map of Unreal Engine 5. This algorithm utilizes the rich tools and resources provided by ...

Abstract: Pathfinding on grid maps is a cornerstone problem in robotics, autonomous navigation, and game development. Classical algorithms such as A*, Dijkstra’s, and Breadth-First Search (BFS) are ...