Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

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

PID controllers can regulate and stabilize processes in response to changes and
disturbances. This paper provides a comprehensive review of PID controller tuning methods …

In this study, an enhanced hybrid Grey Wolf Optimization algorithm (HI-GWO) is proposed to
address the challenges encountered in traditional swarm intelligence algorithms for mobile …

Earthquakes pose significant risks to national stability, endangering lives and causing
substantial economic damage. This study tackles the urgent need for efficient post …

The A-star algorithm (A*) is a traditional and widely used approach for route planning in
various domains, including robotics and automobiles in smart agriculture. However, a …

This paper presents an innovative approach to optimize the trajectories of a robotic
surveillance system, employing three different optimization methods: genetic algorithm (GA) …

Robot path planning is an important component of ensuring the robots complete work tasks
effectively. Nowadays, most maps used for robot path planning obtain relevant coordinate …

The primary objective of this research is to address the existing gap about the use of a path-
planning algorithm that will reduce energy consumption in off-road applications of tracked …