With the continued development of artificial intelligence technology, unmanned surface
vehicles (USVs) have attracted the attention of countless domestic and international …

The advancement of artificial intelligence technology has significantly enhanced the
utilization of mobile robots in various fields such as industry, aerospace, and agriculture. The …

The efficiency of the rapidly exploring random tree (RRT) falls short when efficiently guiding
targets through constricted-passage environments, presenting issues such as sluggish …

With the rapid development of warehouse robots in logistics and other industries, research
on their path planning has become increasingly important. Based on the analysis of various …

In order to improve the safety and efficiency of inspection robots for solar power plants, the
Rapidly Exploring Random Tree Star (RRT*) algorithm is studied and an improved method …

Large indoor cluttered environment representation is still a challenging task when non-
uniform triangle cell-based or quadrangle cell-based decomposition is used to build the …

In view of the problem that path planning and trajectory tracking are rarely solved
simultaneously in the current research, which hinders their practical implementation, this …

Rapidly exploring random trees (RRTs) have been widely used for single-query motion
planning problems due to their efficient searching capability in high-dimensional and …

With the development of machine perception and multimodal information decision-making
techniques, autonomous driving technology has become a crucial area of advancement in …

In-depth studies of algorithms for solving motion planning problems have been conducted
due to the rapid popularization and development of unmanned aerial vehicles in previous …