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.

本计画旨在发展一个智慧型引擎，以自适应地融合来自人机自主系统中不同智能体的多重信任资讯。该项目将开发新技术来检测隐态漂移，建立人与机器之间的可信度模型，并在各种不确定性和信任水平下自适应地融合信息。这些技术将被整合，以产生一个通用的框架，以促进人机交互，并使更好的协同决策HMAS。这些成果将有利于以人为本的自动化系统，特别是下一代自动驾驶汽车，这将有助于澳大利亚经济的发展。