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Territory Formation in Mobile Robots

机译:移动机器人的领土形成

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Animals navigate through their environment using diverse strategies. These navigation strategies might be highly dependent on the animal's ecological niche. Though a lot of work is focused on biological navigation mechanisms, the cognitive ecology of spatial memory is poorly understood. The performances of different navigation mechanisms in the context of a biologically relevant behavior can be assessed by using mobile robots. For this task, territorial behavior was built on Khepera miniature robots. Territoriality is strongly dependent on spatial learning and thus provides a powerful context for testing of sensory and computational complexity needed by animals solving special tasks. Simultaneously, the principles underlying the establishment of territories in a previously uninhabited area and how it is dependent on environmental parameters can be investigated. In the present paper, territoriality in robots is introduced. The robots navigate by relying on poor sensor input and a representation of the environment of a low complexity. Qualitative results show that territories form. Subsequently, the consequences of the introduction of a newcomer in already established territories are presented.
机译:动物使用各种策略来浏览他们的环境。这些导航策略可能高度依赖动物的生态利基。虽然很多工作都集中在生物导航机制上,但空间记忆的认知生态学知之甚少。可以通过使用移动机器人来评估在生物学相关行为的上下文中的不同导航机制的性能。对于此任务,领土行为建于Khepera微型机器人。领土性强烈依赖于空间学习,从而为动物解决特殊任务所需的感官和计算复杂性提供了强大的背景。同时,可以调查在以前无人居住的地区建立领土的原则以及如何依赖环境参数。在本文中,介绍了机器人中的领土。机器人通过依靠差的传感器输入和低复杂性环境的表示来导航。定性结果显示,领土形式。随后,提出了在已经建立的领土上引入新人的后果。

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