当然，主试的兴趣不在于机器人的反应——它被另一个研究者控制着，而在于人类被试的反应。
Of course it wasn't the robot's reaction that was of interest-it was being operated by another researcher-but the human subjects' response.
针对室内移动机器人导航问题，提出一种包括全局规划层、局部路径优化层、反应式导航控制层的导航策略。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
采用分布式系统将反射式行为、反应式行为与慎思规划相结合，设计了移动机器人导航控制策略。
A navigation control strategy for mobile robot is designed by the tight integration of reflecting behavior, reactive behavior and deliberative module based on distributed system.
本论文以实现具有类人反应的服务机器人为目标，研究了服务机器人的神经网络力控制器的实现问题。
This thesis investigates the problem of the realization of a neural network force controller for a service robot, which aims at a human-like service robot.
本文采用模糊控制的方法控制移动机器人的前进方向，在模糊控制中根据障碍物的实际位置及机器人运动方向与目标点夹角的不同情况，给出了机器人的反应规则。
In fuzzy control, according to the actually obstacle position and the Angle between the target orientation and the robot's direction of movement, we give the reaction rules of the robot.
本文采用模糊控制的方法控制移动机器人的前进方向，在模糊控制中根据障碍物的实际位置及机器人运动方向与目标点夹角的不同情况，给出了机器人的反应规则。
In fuzzy control, according to the actually obstacle position and the Angle between the target orientation and the robot's direction of movement, we give the reaction rules of the robot.
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