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。
For path planning in the unknown environment, it is useful that the robot can modify its algorithm to optimize the path, so that it can be adaptive to different kinds of environments.
对于未知环境下的路径规划，要求机器人有适应不同环境的能力，能针对不同环境自动调整规划算法以优化路径。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
本文借鉴预测控制滚动优化原理，研究了全局环境未知且存在动态障碍物情况下的机器人路径规划问题。
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