Visual attention in a mobile robot

C. Scheier, S. Egner
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引用次数: 21

Abstract

An agent performing a task in an environment must be able to selectively attend to visual stimuli. This ability is of critical importance for adaptive behavior in (vision-based) biological and artificial agents. In this paper we present a connectionist model of how visual attention can serve an agent to perform its task. The model is embedded in a mobile robot. Visual stimuli are segregated by means of synchronization of spiking neurons. They then enter a selection process, the result of which determines what region of the visual field the robot will attend and consequently react to. Results from the behavior of the robot as well as the underlying neuronal dynamics are presented, and limitations as well as future extensions of the model are discussed.
移动机器人的视觉注意力
在环境中执行任务的代理必须能够选择性地关注视觉刺激。这种能力对于(基于视觉的)生物和人工代理的自适应行为至关重要。在本文中,我们提出了一个连接主义模型,说明视觉注意如何服务于智能体来执行其任务。该模型嵌入到移动机器人中。视觉刺激通过脉冲神经元的同步来分离。然后,他们进入一个选择过程,其结果决定了机器人将进入视野的哪个区域,并因此做出反应。从机器人的行为以及潜在的神经元动力学的结果提出,并限制和未来的扩展模型进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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