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 ...

Robotic systems are transforming image-guided interventions by enhancing accuracy and minimizing radiation exposure. A significant challenge in robotic assistance lies in surgical path planning, which ...

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.

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...

U.S. Air Force Col. John Ohlund, Advanced Battle Management System Cross-Functional Team (ABMS CFT) director, briefs Airmen and industry partners during the Department of the Air Force’s third ABMS ...

This repository contains comprehensive implementations of Dijkstra's shortest path algorithm in three programming languages (C++, Python, and Dart) for the Computer Networks lab. The project includes ...

ABSTRACT: With the continuous advancement of medical technology and the enhancement of hospital service quality, hospital drug delivery robots have gradually become an important component of medical ...

"Breaking the Sorting Barrier for Directed Single-Source Shortest Paths" by Ran Duan, Jiayi Mao, Xiao Mao, Xinkai Shu, and Longhui Yin (2025) Use the road_network_benchmark example to evaluate the ...

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 ...

During the winter months, the time you will be spending outdoors to tend to your garden or home landscape will probably be greatly reduced. Take advantage of this upcoming “rest” period and develop a ...