Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Abstract: For large-scale Unmanned Aerial Vehicle (UAV), it is a challenging problem to automatically generate an optimal path considering the multi-constraints. In order to improve the efficiency and ...

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: Aiming at the problems of the A* algorithm in mobile robot path planning, such as multiple nodes, low path accuracy, long running time and difficult path initialization of particle swarm ...

The paper “A 1000× Faster LLM-enhanced Algorithm for Path Planning in Large-scale Grid Maps,” published on arXiv by researchers from the National University of Defense Technology in China, presents a ...

1 School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China. 2 School of Vocational Education, Tianjin University of Technology and Education, ...

Your browser does not support the audio element. (1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento; (2) Marco Robol ...

Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one of the best-known path planning algorithms. However, the traditional A* algorithm has some limitations, ...