Industrial Robots-as-a-Service (IRaaS) - Resilient and responsive manufacturing systems enabled by rapidly deployable mobile robots

工业机器人即服务 (IRaaS) - 由可快速部署的移动机器人支持的弹性和响应式制造系统

• 批准号: EP/V050966/1
• 负责人: Niels Lohse
• 金额: $ 182.98万
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV050966%2F1
• 关键词: Industrial; Robots; Service; IRaaS; Resilient

Current automation is reliant on large volume applications, with predictable market demands and stable product variants. For companies in emerging and global markets, it is difficult to adopt automation and remain responsive to market changes; as a result companies that need to be responsive are forced to adopt more expensive manual approaches, or rely on off-shore manufacturing in lower wage economies. To address this, UK manufacturing needs more responsive automation.This project will investigate means to reduce the effort of deploying and repurposing generic off-the-shelf robots and mobile autonomous platforms, and provide them with the ability to work in teams with people and other robots. This will provide the foundation to use Industrial Robots-as-a-Service (IRaaS). The IRaaS model will allow manufacturers to quickly respond to meet the demands of changing markets, dynamically organise work to maximise their productivity, and be less exposed to any sudden shocks and system failures. This will augment the capability of the skilled human workforce who will be enabled by automation that is responsive to human-defined production needs. The IRaaS model will also bring the key benefits inherent to product service systems. From a reliability perspective, the system will be resilient as malfunctioning robots can easily be replaced; from a financial perspective, the model will remove the need for large capital investment by enabling subscription based services; and from an environmental perspective, it will enable sustainable manufacturing concepts such as repair, re-use and re-manufacture, eliminating the waste and cost of decommissioning monolithic automation equipment.

当前的自动化依赖于大批量应用，具有可预测的市场需求和稳定的产品变体。对于新兴市场和全球市场的公司来说，很难采用自动化并保持对市场变化的响应;因此，需要响应的公司被迫采用更昂贵的人工方法，或依赖于低工资经济体的离岸制造。为了解决这一问题，英国制造业需要更加快速响应的自动化。该项目将研究如何减少部署和重新利用通用现成机器人和移动的自主平台的工作，并为它们提供与人和其他机器人进行团队工作的能力。这将为使用工业机器人即服务（IRaaS）提供基础。IRaaS模式将使制造商能够快速响应不断变化的市场需求，动态组织工作以最大限度地提高生产力，并且更少地受到任何突然冲击和系统故障的影响。这将增强熟练劳动力的能力，这些劳动力将通过自动化来满足人类定义的生产需求。IRaaS模式还将带来产品服务系统固有的关键优势。从可靠性的角度来看，该系统将具有弹性，因为故障机器人可以很容易地被替换;从财务角度来看，该模型将通过启用基于订阅的服务来消除对大量资本投资的需求;从环境角度来看，它将实现可持续制造概念，如维修，再利用和再制造，消除废弃单片自动化设备的浪费和成本。

项目成果

Towards Autonomous Robotic Systems - 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13-15, 2023, Proceedings

迈向自主机器人系统 - 第 24 届年会，TAROS 2023，英国剑桥，2023 年 9 月 13-15 日，会议记录

• DOI: 10.1007/978-3-031-43360-3_12
• 发表时间: 2023
• 作者: West A

Automatic definition of engineer archetypes: A text mining approach

• DOI: 10.1016/j.compind.2023.103996
• 发表时间: 2023-11
• 期刊: Comput. Ind.
• 作者: F. Lupi;M. Mabkhot;Eleonora Boffa;P. Ferreira;D. Antonelli;A. Maffei;N. Lohse;M. Lanzetta

An adapation Framework for Industry 4.0 Responsive Production Systems

工业4.0响应式生产系统的适配框架

• DOI: 10.1109/indin51400.2023.10218127
• 发表时间: 2023
• 作者: Mabkhot M