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 ...

Coverage path planning (CPP) is crucial when unmanned aerial vehicle (UAV) performs tasks such as pesticide spraying. However, existing coverage path planning methods suffer from the problem of easily ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the ...

1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China 2 Shandong Gaomi Technician Institute, Shandong Province, China For the low ...

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 ...

numpy (v1.17.4 used) optional (used only in coverage_test.py): Given a NxM matrix, where free areas are marked with 0, obstacles with 1 and the starting point with 2, find a trajectory that passes ...

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 ...

Abstract: Coverage path planning (CPP) is crucial when unmanned aerial vehicle (UAV) performs tasks such as pesticide spraying. However, existing coverage path planning methods suffer from the problem ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...