A neural fuzzy fusion engine for human-machine autonomous systems

用于人机自主系统的神经模糊融合引擎

• 批准号: DP180100670
• 负责人: Prof Chin-Teng Lin
• 金额: $ 24.77万
• 依托单位: University of Technology Sydney
• 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 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180100670
• 关键词: neural; fuzzy; fusion; engine; human

This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general framework to facilitate human-machine interaction and enable better collaborative decisions in HMAS. The outcomes will benefit human-centric automation systems in general and next-generation autonomous vehicles in particular, which will contribute to the Australian economy.

该项目旨在开发一种智能引擎，以适应来自人类机器自动系统（HMA）的各种代理的多个基于信任的信息。该项目将开发新技术，以检测秘密状态漂移，人与机器之间的可信度建模以及在各种不确定性和信任水平下自适应融合信息。这些技术将集成以生成一般框架，以促进人机相互作用，并在HMAS中实现更好的协作决策。这些结果将使以人为中心的自动化系统尤其是下一代自动驾驶汽车受益，这将有助于澳大利亚经济。