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Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots

机译:人类行为分解能力模型:在机器人控制系统中的应用

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摘要

Humans and machines have shared the same physical space for many years. To share the same space, we want the robots to behave like human beings. This will facilitate their social integration, their interaction with humans and create an intelligent behavior. To achieve this goal, we need to understand how human behavior is generated, analyze tasks running our nerves and how they relate to them. Then and only then can we implement these mechanisms in robotic beings. In this study, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this study has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.
机译:多年来,人与机器共享相同的物理空间。为了共享相同的空间,我们希望机器人的行为像人类一样。这将促进他们的社会融合,与人类的互动并创造一种聪明的行为。为了实现这个目标,我们需要了解人类行为是如何产生的,分析运行我们的神经的任务及其与神经的关系。只有到那时,我们才能在机器人生命中实现这些机制。在这项研究中,我们提出了一种基于人类神经调节系统的能力模型,用于将行为分析和分解为功能模块。使用此模型可以分离并定位要在显示类人行为的机器人中执行的任务。例如,我们展示了模型在陌生环境下的自主运动行为的应用,以及在具有不同物理配置和不同性质的物理设备的各种模拟和真实机器人中的实现。这项研究的主要结果是建立了一个能力模型,该模型用于构建能够显示与人类相似的行为并考虑机器人的特定特征的机器人系统。

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