Information processing at its limits: from the dimmest habitats to the smallest sizes

信息处理的极限：从最昏暗的栖息地到最小的尺寸

• 批准号: FT140100221
• 负责人: A/Prof Ajay Narendra
• 金额: $ 53.14万
• 依托单位: Macquarie University
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT140100221
• 关键词: Information; processing; its; limits; dimmest

Ensuring optimal information processing at the limits of size and ambient light is a challenge for technical systems, but has been elegantly solved by animals. The challenge of navigation is similar for animals of all sizes and in both day and night. This project aims to conduct a comparative analysis to identify the consequence of size and light on the information processing capacities for visual navigation. Outcomes of this project will reveal the behavioural and physiological adaptations needed and the costs associated with navigating in the dimmest of habitats and at the smallest of sizes. Identifying such optimal biological solutions for robust navigation will be relevant for image processing, computer vision and robotics.

在尺寸和环境光的限制下确保最佳的信息处理对技术系统来说是一个挑战，但动物已经优雅地解决了这个问题。导航的挑战对各种大小的动物来说都是相似的，无论白天还是晚上。本项目旨在进行对比分析，以确定尺寸和光线对视觉导航信息处理能力的影响。该项目的结果将揭示在最昏暗的栖息地和最小的尺寸中导航所需的行为和生理适应以及相关的成本。为鲁棒导航找到这样的最佳生物解决方案将与图像处理、计算机视觉和机器人技术相关。