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 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 ...

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 ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

DSA Visualizer is an interactive educational platform designed to help students and developers understand data structures and algorithms through visual learning. Each visualizer provides step-by-step ...

Abstract: This paper introduces a novel approach to urban pathfinding by transforming traditional heuristic-based algorithms into deep learning models that leverage real-time contextual data, such as ...

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, ...

Abstract: The A* algorithm has been widely employed in the automatic navigation of mobile robots. However, the traditional A* algorithm faces challenges in handling complex environments and ...