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Cognitive Architecture to Generate Motivational Feelings: A Way to Improve Visual Learning in Robots

机译:产生动机感的认知架构:一种改善机器人视觉学习的方式

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Expressions and voice pitch of an individual play an indispensable role in different cognitive processes. These factor help humans to learn a lot about different things present in their environment. This paper proposes a way to motivate robot learning through their environment and human around them. This mechanism is based on recognition of other agent’s facial expressions and voice pitch analysis by robot. A motivational level can be calculated through these feelings. Motivational level can impel the robots to improve their past learning. This mechanism can possibly help a robot to apprehend its environment and interact with other agents effectively.
机译:一个人的表情和语调在不同的认知过程中起着不可或缺的作用。这些因素可以帮助人们了解周围环境中的各种事物。本文提出了一种通过环境和周围人激励机器人学习的方法。该机制基于机器人识别其他特工的面部表情和语音音调的基础。通过这些感觉可以计算出动机水平。动机水平可以促使机器人改善过去的学习。该机制可能有助于机器人了解其环境并与其他代理有效地交互。

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