Visual servo system can be used in the control systems of robot original orientation guiding, obstacle avoiding, trajectory tracking and moving object tracking, etc.
视觉伺服可以应用于机器人初始定位自动导引、自动避障、轨线跟踪和运动目标跟踪等控制系统中。
The previous control strategy that has been adopted to solve the path planning problem of biped robot can only handle the static or predictable obstacle avoiding problems.
以往的双足机器人路径规划控制策略只能解决静止或以可预测速度运动的障碍物的越障问题。
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。
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。
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