Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

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 …

The rapidly exploring random tree and its variants (RRTs) have been widely adopted as the
motion planning algorithms for mobile robots. However, the trap space problem, such as …

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 …

In this paper, we present a novel path planning algorithm called Kinematic Constrained Bi-
directional Rapidly-exploring Random Tree with Efficient Branch Pruning (KB-RRT*), which …

The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …

In a human-robot coexisting environment, it is pivotal for a mobile service robot to arrive at
the goal position safely and efficiently. In this article, an elastic band-based rapidly exploring …

Learning priors on trajectory distributions can help accelerate robot motion planning
optimization. Given previously successful plans, learning trajectory generative models as …

During the last decades, sampling-based algorithms have been used to solve the problem of
motion planning. RRT*, as an optimal variant of RRT, provides asymptotic optimality …