Socially-Acceptable and Trustworthy Human-Robot Teaming for Agile Industries
敏捷行业社会可接受且值得信赖的人机协作
基本信息
- 批准号:10079688
- 负责人:
- 金额:$ 60.25万
- 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
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Manufacturing, construction, and agriculture are major driving forces for the European economy and prosperity. Maintaining its competitiveness in these sectors demands highly efficient and flexible processes, and this can be achieved through digitization. Novel intelligent robotic capabilities that can be deployed side-by-side with humans and can operate and adapt to dynamic environments can accelerate this process. However, existing robotic systems cannot fit well into such settings as they are not versatile and flexible enough to automate certain tasks, cannot collaborate safely with humans in open and dynamic environments, nor are they easily and economically adaptable to process changes. The SOPRANO project coalesces multidisciplinary research and innovation in human-robot collaboration and intelligent multi-agent systems, aspiring to design the next generation of manufacturing floors, construction sites, and agri-food production, where humans and intelligent machines will seamlessly work together. It proposes to scale collaboration from the single human-agent dyad to a peer-based synergy between multiple interconnected robotic systems featuring different physical and cognitive properties, supporting various tasks in collaboration with human workers, robotics and other agents. SOPRANO will validate the technological offering in three novel and open-access use cases addressing both large-scale industries and small to medium enterprises, adding value to EU key sectors and instrumenting community building surrounding the open-source technologies in the EU industrial ecosystem. During the project, we will also enable external SMEs and start-ups to benefit from the project technologies via an open call, which will enable the building of demonstrators using SOPRANO technologies that will open new market opportunities for their products and services.
制造业、建筑业和农业是欧洲经济和繁荣的主要推动力。保持在这些领域的竞争力需要高效和灵活的流程,而这可以通过数字化来实现。可以与人类并肩部署、能够操作和适应动态环境的新型智能机器人功能可以加速这一过程。然而,现有的机器人系统不能很好地适应这种环境,因为它们的通用性和灵活性不足以自动执行某些任务,不能在开放和动态的环境中与人类安全地协作,也不能轻松且经济地适应流程变化。 SOPRANO 项目融合了人机协作和智能多智能体系统方面的多学科研究和创新,立志设计下一代制造车间、建筑工地和农业食品生产,让人类和智能机器能够无缝协作。它建议将协作从单个人类代理二人组扩展到具有不同物理和认知属性的多个互连机器人系统之间基于对等的协同作用,支持与人类工人、机器人和其他代理协作的各种任务。 SOPRANO 将在三个新颖且开放的用例中验证技术产品,这些用例涉及大型工业和中小企业,为欧盟关键部门增加价值,并围绕欧盟工业生态系统中的开源技术进行社区建设。在项目期间,我们还将通过公开征集的方式让外部中小企业和初创企业从项目技术中受益,这将能够使用 SOPRANO 技术构建演示器,从而为其产品和服务开辟新的市场机会。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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其他文献
Products Review
- DOI:
10.1177/216507996201000701 - 发表时间:
1962-07 - 期刊:
- 影响因子:2.6
- 作者:
- 通讯作者:
Farmers' adoption of digital technology and agricultural entrepreneurial willingness: Evidence from China
- DOI:
10.1016/j.techsoc.2023.102253 - 发表时间:
2023-04 - 期刊:
- 影响因子:9.2
- 作者:
- 通讯作者:
Digitization
- DOI:
10.1017/9781316987506.024 - 发表时间:
2019-07 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
References
- DOI:
10.1002/9781119681069.refs - 发表时间:
2019-12 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Putrescine Dihydrochloride
- DOI:
10.15227/orgsyn.036.0069 - 发表时间:
1956-01-01 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
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- 批准号:
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