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Nimble Artificial Intelligence Driven Robotic Solutions for Efficient and Self-Determined Handling and Assembly Operations

Nimble Artificial Intelligence Driven Robotic Solutions for Efficient and Self-Determined Handling and Assembly Operations
灵活的人工智能驱动的机器人解决方案,可实现高效、自主的搬运和装配操作
批准号:
10048288
负责人:
金额:
$32.91万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
在过去的几年里,生产已经从大规模生产转向定制。传统的生产线,传统上集中在一个产品变种或一个系列的产品确实显示出其局限性,以科普新的需求。此外,前所未有的全球性事件,如最近的流行病危机,表明更需要灵活的生产系统,可以迅速将生产切换到一个完全不同的(例如,汽车制造商必须生产冰箱,口罩等)。作为回应,MASTERLY旨在开发灵活的机器人解决方案,由模块化夹具与最先进的机器人技术相结合组成,例如移动的,高和低有效载荷的工业和协作机器人以及智能起重机,增强了人工智能驱动的先进控制和感知能力,使它们能够自主行动,处理各种尺寸,形状和材料不同的零件,同时被劳动力的两性所接受。发展将围绕以下五大支柱:1)采用多学科方法结合技术的创新、高效和低消耗的存储、检索、输送和取放系统2)坚固的搬运设备和系统,集成-AI驱动-先进控制3)用于机器人/机床控制和编程的用户友好界面4)可互操作的S/W和H/W接口5)在整个生产线上进行工件处理的工业试点案例这些技术将在来自不同生产部门的三个用例中进行灵活性、效率和用户接受度的测试,旨在展示生产线和跨部门的适用性和适应性:电梯制造,专注于电梯电气柜的组装(KLEEMANN),运动服装,专注于仓储物流和包装(DECATHLON)和航空生产,专注于生产飞机机翼的大型复合材料面板(AERNNOVA)。
英文摘要
Over the last years, production has been shifted from mass production to customization. The conventional production lines, traditionally focused on one product variant or one family of products do show their limitations to cope with the new needs. Moreover, unprecedented worldwide events, such as the recent pandemic crisis, indicated even more the need for flexible production systems that can rapidly switch production to a totally different one (e.g. automotive manufactures had to produce respirators, facemasks etc.). As a response, MASTERLY aims to develop flexible robotic solutions, constituting of modular grippers combined with state-of-the-art robotic technologies, such as mobile, high and low payload industrial and collaborative robots and smart cranes, enhanced with AI driven advanced control and perception capabilities that will allow them to act autonomously, handling a large variety of parts varying in size, shape and material, while being acceptable by both genders of workforce. The developments will focus around the following 5 pillars: 1) Innovative, efficient and low consumption systems for storage, retrieval, conveying and pick-and-place using a multi disciplinary approach combining technologies 2) Robust handling devices and systems, with integrated –AI driven- advanced control 3) User-friendly interfaces for robot/machine control and programming 4) Interoperable S/W and H/W interfaces 5) Industrial Pilot Cases for work piece handling in full production line The technologies will be tested for flexibility, efficiency & user acceptance in three use cases from different productions sectors, aiming to demonstrate production line and cross sector applicability and adaptability: Elevators manufacturing, focusing on the assembly of electrical cabinets of lifts (KLEEMANN), Sportswear, focusing on warehouse logistics and packaging (DECATHLON) and Aeronautics production, focusing on production of large composite panels of aircraft wings (AERNNOVA).
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