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Robot behavior control based on current and predictive internal, external condition and states with levels of activations

机译:基于当前和预测的内部,外部条件和状态以及激活级别的机器人行为控制

摘要

In a robot device, an action selecting/control system includes a plurality of elementary action modules each of which outputs an action when selected. An activation level calculation unit calculates an activation level AL of each elementary action on the basis of information from an internal-state manager and external-stimulus recognition unit and with reference to a data base. An action selector selects an elementary action whose activation level AL is highest as an action to be implemented. Each action is associated with a predetermined internal state and external stimulus. The activation level calculation unit calculates an activation level AL of each action on the basis of a predicted satisfaction level variation based on the level of an instinct for an action corresponding to an input internal state and a predicted internal-state variation predictable based on an input external stimulus.
机译:在机器人装置中,动作选择/控制系统包括多个基本动作模块,每个基本动作模块在被选择时输出动作。激活水平计算单元基于来自内部状态管理器和外部刺激识别单元的信息并参考数据库来计算每个基本动作的激活水平AL。动作选择器选择其激活级别AL最高的基本动作作为要执行的动作。每个动作都与预定的内部状态和外部刺激相关。激活水平计算单元基于基于与输入内部状态相对应的动作的本能的水平的预测满意度水平变化,基于预测的满意水平变化来计算每个动作的激活水平AL,以及基于输入可以预测的预测内部状态变化。外部刺激。

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