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Spatial Cognition: Robot Target Localization in Open Arenas based on Rat Studies

机译:空间认知:基于大鼠研究的开放竞技场机器人目标定位

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We describe our latest work in understanding spatial localization in open arenas based on rat studies and corresponding modeling with simulated and physical robots. The studies and experiments focus on goal-oriented navigation where both rats and robots exploit distal cues to localize and find a goal in an open environment. The task involves training of both rats and robots to find the shortest path to the goal from multiple starting points in the environment. The spatial cognition model is based on the rat's brain neurophysiology of the hippocampus extending previous work by analyzing granularity of localization in relation to a varying number and position of landmarks. The robot integrates internal and external information to create a topological map of the environment and to generate shortest routes to the goal through path integration. One of the critical challenges for the robot is to analyze the similarity of positions and distinguish among different locations using visual cues and previous paths followed to reach the current position. We describe the robotics architecture used to develop, simulate and experiment with physical robots.
机译:我们根据大鼠研究以及使用模拟和物理机器人进行的相应建模,描述了我们在理解开放区域空间定位方面的最新工作。研究和实验集中于目标导向的导航,老鼠和机器人都利用远端线索在开放环境中定位并找到目标。该任务涉及训练大鼠和机器人,以从环境中的多个起点找到到达目标的最短路径。空间认知模型基于大鼠海马的脑神经生理学,通​​过分析与地标的数量和位置有关的局部粒度来扩展先前的工作。该机器人集成了内部和外部信息,以创建环境的拓扑图,并通过路径集成生成到达目标的最短路径。机器人面临的关键挑战之一是分析位置的相似性,并使用视觉提示和到达当前位置所遵循的先前路径来区分不同的位置。我们描述了用于开发,模拟和实验物理机器人的机器人体系结构。

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