We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …

In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …

With the development of artificial intelligence, path planning of Autonomous Mobile Robot
(AMR) has been a research hotspot in recent years. This paper proposes the improved A …

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 …

Path planning technology is an important guarantee for the safe navigation of autonomous
underwater vehicle (AUV) in water, and it is also an important indicator of the intelligence of …

Robotics has attracted broad attention as an emerging technology in construction to help
workers with repetitive, physically demanding, and dangerous tasks, thus improving …

Path planning is a very important step for mobile smart vehicles in complex environments.
Sampling based planners such as the Probabilistic Roadmap Method (PRM) have been …

The offline path planning problem for arc welding robots becomes increasingly difficult to
achieve with the increasing product complexity and the open work environment, such as the …

When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile
robot path planning, due to the limited observable environment of mobile robots, the training …

A fundamental task in robotics is to plan collision‐free motions among a set of obstacles.
Recently, learning‐based motion‐planning methods have shown significant advantages in …