The working environment of a picking robot is complex, and the motion-planning algorithm
of the picking manipulator will directly affect the obstacle avoidance effect and picking …

It is well known that path planning has always been an important study area for intelligent
ships, especially for unmanned surface vehicles (USVs). Therefore, it is necessary to study …

For the problem of path planning in complex static environment, in order to reduce the cost
of the UAV flight, this paper puts forward an improved algorithm combined with artificial …

针对RRT* 和B-RRT* 算法在较复杂环境下路径规划时, 存在搜索时间长, 采样效率低和规划路径
曲折的问题, 提出一种目标偏置双向快速扩展随机树算法——GBB-RRT*(goal biased …

鉴于快速搜索随机树(RRT) 方法进行机械臂运动规划时, 存在节点利用率低, 拓展导向性差,
路径粗糙等问题, 提出一种基于约束采样的RRT 算法. 改进了稀疏节点产生机制 …

针对机械臂在高维关节空间下路径规划效率低的问题, 本文提出了一种基于低差异序列与快速
扩展随机树融合的路径规划算法. 该方法首次使用Sobol 序列代替快速扩展随机树中的伪随机 …

Generating a collision-free and dynamically feasible trajectory with a better clearance in a
cluttered environment is still a challenge. We propose two dynamically feasible B-spline …

针对传统RRT-Connect 算法路径规划过程中随机性大, 算法效率低, 搜索时间长,
搜索路径冗长等问题, 提出一种同根双向扩展的贪心RRT 路径规划算法. 将由起点开始向终点 …

Path planning is a popular topic in research on mobile robots. In this paper, we apply the
concept lattice to the path planning problem for the first time in the literature to propose a …

As autonomous underwater vehicles (AUVs) merely adopt the inductive obstacle avoidance
mechanism to avoid collisions with underwater obstacles, path planners for underwater …