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Gaze Control-Based Navigation Architecture for Humanoid Robots in a Dynamic Environment

机译:动态环境中的人形机器人的凝视基于控制的导航架构

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Due to the limited information from the environment using a local vision sensor, gaze control research is very important for humanoid robots. In addition, multiple objectives for navigation have interactive relationships among them. From this point of view, this paper proposes a gaze control-based navigation architecture using fuzzy integral and fuzzy measure for humanoid robots. Four criteria are employed along with their partial evaluation functions in order to determine the final gaze direction. By employing fuzzy integral approach for the global evaluation for candidate gaze directions, effective gaze control considering the interactive phenomena among criteria is accomplished and verified through a simulation using a developed simulator for HanSaRam-IX (HSR-IX).
机译:由于使用本地视觉传感器的环境信息有限,凝视控制研究对于人形机器人来说非常重要。此外,导航的多个目标是它们之间的互动关系。从这个角度来看,本文提出了一种利用人形机器人的模糊积分和模糊措施来提出基于凝视控制的导航架构。使用四个标准以及它们的部分评估函数以确定最终的凝视方向。通过采用用于候选凝视方向的全局评估的模糊积分方法,通过使用开发的模拟器为Hansaram-IX(HSR-IX)来实现考虑标准中的交互现象的有效凝视控制。

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