Resilient Remote Environment Emulation for Human-to-Machine Communication

用于人机通信的弹性远程环境仿真

• 批准号: DP240101064
• 负责人: Prof Elaine Wong
• 金额: $ 37.8万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240101064
• 关键词: Resilient; Remote; Environment; Emulation; Human

Human-to-machine haptic communication allow humans to immersively interact with remotely-located robots/machines. Current networks cannot support its technical demands, thereby limiting the achievable human-machine distance. This project aims to develop cloudlet intelligence together with a programmable resilient network to realise reliable remote environment emulation, a concept where the physical environment at the remote machine is emulated close to the human. A key outcome will be the first reliable remote environment emulation platform that achieves vast human-machine distances on current networks. Enabling immersive human-machine experience will significantly benefit many sectors, from education through to industrial manufacturing.

人机触觉通信使人类能够与远程机器人/机器进行身临其境的交互。当前的网络无法支持其技术需求，从而限制了可实现的人机距离。该项目旨在开发云智能和可编程弹性网络，以实现可靠的远程环境仿真，即远程机器上的物理环境被模拟得接近人类。一个关键成果将是第一个可靠的远程环境仿真平台，该平台可在当前网络上实现远距离的人机距离。实现沉浸式人机体验将使从教育到工业制造的许多行业受益匪浅。