边缘智能与自动导引车控制的协同设计
Codesign of Edge Intelligence and Automated Guided Vehicle Control
- Centre for Wireless Communication（无线通信中心）
- University of Oulu（奥卢大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出一种协同设计AGV控制、边缘智能与人类输入的方法，实现工业环境自主运输，系统集成设计达到TRL 4-5。
AI中文摘要：
本工作提出了一种自主导引车（AGV）控制、边缘智能与人类输入的协同设计，以实现工业环境中的自主运输。AGV具备在源点与目的地之间导航及拾取/放置物体的能力。人类输入隐式提供目的地与精确投放点的偏好，这些偏好由网络边缘的人工智能（AI）模块推导，并通过无线网络共享给AGV。演示表明，所提出的硬件、软件与AI的集成设计达到了4-5范围的技术成熟度（TRL）。
英文摘要：
This work presents a harmonic design of autonomous guided vehicle (AGV) control, edge intelligence, and human input to enable autonomous transportation in industrial environments. The AGV has the capability to navigate between a source and destinations and pick/place objects. The human input implicitly provides preferences of the destination and exact drop point, which are derived from an artificial intelligence (AI) module at the network edge and shared with the AGV over a wireless network. The demonstration indicates that the proposed integrated design of hardware, software, and AI design achieve a technology readiness level (TRL) of range 4-5
