Human-robot collaboration and dynamic material handling optimisation in factory and warehouse settings

工厂和仓库环境中的人机协作和动态物料搬运优化

• 批准号: 10065454
• 金额: $ 32.61万
• 依托单位: SONODOT LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10065454
• 关键词: Human; robot; collaboration; dynamic; material

Surging costs and acute labour shortages are threatening the sustainability of the warehousing and logistics industry where margins are typically very low and businesses operate on short contract terms. The industry is embracing innovative digital technologies and robotics to automate operations, improve efficiency and reduce costs. However, with increasing automation, human-robot collaboration and the measurement and tracking of goods, equipment and workforce activity across operations becomes increasingly challenging.Sonodot (trading as Logidot) is an emerging player in the warehousing and logistics sector with a state-of-the-art industrial IoT platform combining low-cost, plug&play location tracking sensors and a real-time intelligence platform to track equipment (barcode scanners/forklifts) and pickers in warehouse and factory environments. In collaboration with the University of Bath's Centre for Smart Warehousing and Logistics Systems, a smart warehousing solution has been designed with innovations in ultra-wide-band sensors, machine-learning, dynamic routing and mesh communication protocols to provide real-time data insights that enable warehouse managers to make informed decisions around task prioritisation, safety, human labour and fleet utilisation to optimise operational efficiency and productivity.This project responds to current industry challenges and trends towards greater automation, highlighted with leading providers of transport and logistics solutions, with a key focus on developing functionality for activity tracking in manual and unstructured (not always repeated and predictable) operations (forklifts and pickers), understanding where and why time is wasted on unproductive workflows, dynamically responding/routing drivers/pickers in real-time, and coordinating with automation (conveyor belts or robots).An advanced prototype will be developed and deployed within a state-of-the-art automated warehouse facility to demonstrate the potential of the solution to improve efficiencies within an operational environment. Outcomes will provide a compelling case for market adoption, targeting mid-large warehouses and distribution centres globally with interest already secured from operations/warehouse managers across the UK and Europe for rapid commercialisation post project.

成本飙升和劳动力严重短缺正威胁着仓储和物流行业的可持续性，该行业的利润率通常非常低，企业的合同期限很短。该行业正在采用创新的数字技术和机器人技术来实现自动化操作，提高效率并降低成本。然而，随着自动化程度的不断提高，人机协作以及跨运营的货物、设备和劳动力活动的测量和跟踪变得越来越具有挑战性。Sonodot（交易名称为Logidot）是仓储和物流领域的新兴参与者，拥有最先进的工业物联网平台，即插即用位置跟踪传感器和实时智能平台，用于跟踪仓库和工厂环境中的设备（条形码扫描仪/叉车）和拣选员。与巴斯大学智能仓储和物流系统中心合作，智能仓储解决方案设计了超宽带传感器，机器学习，动态路由和网状通信协议的创新，以提供实时数据见解，使仓库管理员能够围绕任务优先级，安全性，人力和车队利用率，以优化运营效率和生产力。该项目响应当前行业的挑战和趋势，向更大的自动化，突出了领先的运输和物流解决方案供应商，主要侧重于开发手动和非结构化活动跟踪功能，（不总是重复和可预测的）操作（叉车和拣选员），了解时间浪费在非生产性工作流程上的位置和原因，实时动态响应/路由驾驶员/拣选员，并与自动化（传送带或机器人）协调。将开发一个先进的原型，并在最先进的自动化仓库设施中部署，以展示该解决方案在提高运营环境效率方面的潜力。这些成果将为市场采用提供一个令人信服的案例，目标是全球的大中型仓库和配送中心，英国和欧洲的运营/仓库经理已经对快速商业化项目感兴趣。