Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

This paper focuses on online obstacle avoidance planning for unmanned underwater
vehicles. To improve the autonomous ability and intelligence of obstacle avoidance …

This paper introduces the use of a swarm algorithm, derived from Ant Colony Optimisation,
to solve path planning problems for autonomous vehicles. The purpose is to obtain optimal …

路径规划是智能水下机器人技术研究的核心内容之一, 是实现其自主航行和作业的关键环节.
本文对智能水下机器人路径规划方法进行分类并分析其各自特点, 总结了国内外利用各种规划 …

Currently, reinforcement learning, the interpretability of the algorithm is a challenge. The lack
of interpretability limits the use of reinforcement learning limited when facing agents in the …

The development of intelligent algorithms for controlling autonomous mobile robots in real-
time activities has increased dramatically in recent years. However, conventional intelligent …

To solve the issue of inconvenient and dangerous manual operation during the installation
and removal of the main pipe plugging plate in the steam generator in nuclear power plants …

路径规划方法是智能水下机器人技术研究的核心内容之一, 是实现自主航行和作业的关键环节.
本文将水下机器人的路径规划方法按智能程度分为传统和智能两大类. 传统方法包括基于路线图 …

Path planning under 2D map is a key issue in robot applications. However, most related
algorithms rely on point-by-point traversal. This causes them usually cannot find the strict …

To deal with the problem of low accuracy of two-dimensional grid map and obstacle
avoidance in dynamic environment of mobile robot with single 2D LiDAR, based on …