In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Abstract: Path planning is fundamental for controlling orthopedic robots and vital in ensuring surgical safety. To address the problem of low path-planning efficiency in traditional path planning ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

SAN FRANCISCO, Nov 12 (Reuters) - IBM (IBM.N), opens new tab announced on Wednesday it has built a new experimental quantum computing chip called Loon that demonstrates it hit a key milestone toward ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

This package implements the most probable path (MPP) algorithm, which is used to coarse-grain the number of discrete states of a Markov process. Based on a microstate trajectory, a Markov state model ...

Abstract: Path planning is a crucial component for robotics and autonomous systems, which facilitate navigation through dynamic and uncertain environments while avoiding obstacles. This review paper ...

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 ...

Keio University, Department of Mechanical Engineering, 3-14-1 Hiyoshi, Kohoku-Ku, Yokohama, Kanagawa 223-8522, Japan ...