Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

The transportation sector accounts for a significant share of greenhouse gas emissions.
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …

Extensive studies have been conducted on the Dijkstra algorithm owing to its bright
prospect. However, few of them have studied the surface path planning of mobile robots …

Video traffic monitoring is an inexpensive and convenient source of traffic data. Traffic
images processing are widely used to check traffic conditions and they can determine traffic …

Most of the vehicle manufacturers aim to deploy level-5 fully autonomous ground vehicles
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …

The traditional A* algorithm has several problems in practical applications, such as many
path turning points, redundant nodes, and long running time. it is sometimes impossible to …

In the path planning of grid map, the influence of node search strategy makes the traditional
A-STAR algorithm shown with the defects of non theoretically optimal path in actual path …

Large-scale trajectory dataset is always required for self-driving and many other
applications. In this paper, we focus on the trajectory generation problem, which aims to …

Purpose The advent of Industry 4.0 has engendered opportunities for a coalescence of
digital technologies that collectively enable driverless vehicles to operate during the …

Nowadays, the applications of the triboelectric nanogenerator in sensing and monitoring
sports experience a blooming prosperity. Here, we report a flexible and lightweight …