Based on the proposed modelization method, dynamic motion control is accomplished by fuzzy decision, which achieves real-time obstacle-avoiding planning results. A path planning method is proposed by incorporating the artificial potential field into the ant colony optimization.
在动态环境中的机器人控制研究中,提出了一种基于模糊概念和可能性理论的环境建模方法,在此基础上进行模糊决策,有效的实现动态运动控制,获得高效的实时、避障规划效果。
参考来源 - 多移动机器人运动控制策略的强化学习研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This thesis researches on mainly two aspects, obstacle-avoiding of mobile robot in real-time and the kalman filtering prediction of the state of obstacles in dynamic uncertain environments.
本文的研究工作主要是针对动态不确定环境下，移动机器人的实时动态避障和对障碍物状态信息的卡尔曼滤波预测两个方面的研究展开的。
The method mainly realizes the functions of autonomous shape-shifting, autonomous obstacle-avoiding and autonomous navigation for the robot in unstructured env.
该方法主要实现了在非结构环境中机器人的自主变形、自主避障和自主导航定位等功能。
A mobile robot must be capable of detecting and avoiding obstacles in order to move safely on variable environment. The paper proposes an obstacle region estimation method using optical flow field.
移动机器人在行进过程中必须能够检测和躲避障碍物，文章提出了一种使用光流场估计障碍物区域的算法。
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