This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

In recent decades, RRT* algorithm has attracted much attention because of its asymptotic
optimization. However, the RRT* algorithm still suffers from slow convergence rate and large …

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

路径规划是移动机器人的热门研究之一, 是实现机器人自主导航的关键技术.
针对移动机器人路径规划的算法进行研究, 以了解不同条件下路径规划算法的发展与应用 …

In complex orchard environments, efficient path-planning algorithms for mobile robots are
crucial for achieving accurate autonomous navigation and mobile operations. The existence …

Abstract Rapidly-exploring Random Tree Star (RRT*) algorithm and its variants based on
random sampling can provide a collision-free and asymptotic optimal solution for many path …

This paper introduces a method for car-like mobile robot path planning (CRPP). The robot
works in both dynamic and static situations. The aim of this method is to explore the best …

Unmanned aerial vehicle (UAV) path planning plays an important role in the flight process of
an UAV, which needs an effective algorithm to deal with UAV path planning problem. The …

Aiming to energy-efficient, short path, and safety, an online dynamic multi-objective path
planning method for the wave glider (WG) is proposed to make the WG operate efficiently in …

As a challenging high-dimensional multimodal optimization problem, path planning for
unmanned combat aerial vehicles (UCAVs) has evolved into a hard optimization problem …