Understanding evolution in natural systems using robotic models

使用机器人模型了解自然系统的进化

• 批准号: DP180100220
• 负责人: A/Prof Christofer Clemente
• 金额: $ 21.31万
• 依托单位: University of the Sunshine Coast
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180100220
• 关键词: Understanding; evolution; natural; systems; using

This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary processes, and will provide significant benefits, such as aiding the manufacture of efficient autonomous robots.

该项目旨在构建生物启发的机器人和计算系统，然后以不可能或尚未在自然系统中发生的方式修改这些系统。这两个系统的比较，然后将允许一个定量的了解如何以及优化的生物结构和优化的局限性所在。预期成果包括推进对进化过程的理解，并将提供重大利益，例如帮助制造高效的自主机器人。