SOCIAL INDUSTRIAL COLLABORATIVE ENVIRONMENTS INTEGRATING AI, BIG DATA AND ROBOTICS FOR SMART MANUFACTURING

融合人工智能、大数据和机器人的智能制造社会化工业协作环境

• 批准号: 10042582
• 金额: $ 67.14万
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10042582
• 关键词: SOCIAL; INDUSTRIAL; COLLABORATIVE; ENVIRONMENTS; INTEGRATING

Global economic crises and the COVID19 pandemic have dictated manufacturing firms to rethink their production and business models. Production systems need to adopt both human and automated resourcesthat can work togetherseamlessly. As a response, CONVERGING aims to Develop, deploy, validate and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments. The diversifying factors will be a multilevel AI based cognition (line, station, resource levels) which will exploit the collective perception (Digital Pipeline) of these resources, allowing them to interact with each other and seamlessly coexist with humans under a "social industrial environment" that ensures trustful, safe and inclusive user experience The project proposes the development of systems that can: 1. Perceive: Identify and recognize processes/resources/environment and theirstatus by introducing Big Data, Real Time Integration & Communication Architecture, Digital Twins and Human in the Loop techniques 2. Reason: Analyze the production system status and autonomously formulate plan of actions using AI, Planning and Reconfiguration Algorithms as well as Resource Autonomy solutions 3. Adapt: Automatically modify h/w and control systems to execute the formulated plans through the use of Robotics and Autonomous Systems, Smart Devices and Adaptable Mechatronics 4. Collaborate: Seamlessly work with humans or other resources establishing a social industrial environment which exploits Smart Human Machine Collaboration, User experience assessment and User centric workplace design 5. Innovate: Expand its capabilities and Openness via an Open Pilot Network as well as links to local and international innovation ecosystems CONVERGING will demonstrate its results in the Automotive, Aircraft Production, White Goods and Additive Manufacturing products processing sectors.

全球经济危机和Covid19大流行已决定制造公司重新考虑其生产和商业模式。生产系统需要同时采用人类和自动化资源，可以无效地工作。作为回应，融合旨在开发，部署，验证和促进智能和重新配置的生产系统，包括能够在多样化生产环境中起作用的多种自主剂（协作机器人，AGV，人类）。多样化的因素将是基于多级AI的认知（线路，站点，资源水平），它将利用这些资源的集体感知（数字管道），使他们能够相互互动，并与人类在“社会工业环境”下与人类无缝地共存，从而确保信任，安全和包容性用户通过项目的发展来确定能够/识别的能力/1：1：1：1：1：1：1：1：1：1：1。在循环技术中介绍大数据，实时集成和通信架构，数字双胞胎和人类2。原因：分析生产系统状态并自主使用AI，计划和重新配置算法以及资源自治解决方案以及资源自治解决方案以及自动修改H/W和操作系统的自动操作计划，并自动制定动作计划，并使用ROBOTS的使用，并使用智能的计划，并使用ROBOT的使用，并使用Robout Systems，并使用RobOTS，并使用Robout System，并进行启发。机电之间4。