Using rolling window theory, the robot path planning algorithm in globally unknown environment, especially with moving obstacles is studied.
研究了未知环境下，特别是动态环境下，移动机器人基于滚动窗口的路径规划避障策略。
In a dynamic uncertain environment, this paper presented a path planning method combined time rolling window and artificial bee colony algorithm for mobile robot.
在动态不确定环境下，本文提出了结合时间滚动窗口与人工蜂群算法的移动机器人路径规划方法。
A new approach to complete coverage path planning for mobile robots, which integrates biologically inspired neural network, rolling window and heuristic searching, is presented.
基于生物激励神经网络、滚动窗口和启发式搜索，提出了一种新的完全遍历路径规划方法。
滚动窗口配额。
滚动窗口配额。
应用推荐