Made Smarter Innovation - Research Centre for Smart, Collaborative Industrial Robotics
更智能的创新 - 智能协作工业机器人研究中心
基本信息
- 批准号:EP/V062158/1
- 负责人:
- 金额:$ 614.37万
- 依托单位:
- 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:
- 关键词:
项目摘要
The UK has fallen significantly behind other countries when it comes to adopting robotics/automation within factories. Collaborative automation, that works directly with people, offers fantastic opportunities for strengthening UK manufacturing and rebuilding the UK economy. It will enable companies to increase productivity, to be more responsive and resilient when facing external pressures (like the Covid-19 pandemic) to protect jobs and to grow.To enable confident investment in automation, we need to overcome current fundamental barriers. Automation needs to be easier to set up and use, more capable to deal with complex tasks, more flexible in what it can do, and developed to safely and intuitively collaborate in a way that is welcomed by existing workers and wider society. To overcome these barriers, the ISCF Research Centre in Smart, Collaborative Robotics (CESCIR) has worked with industry to identify four priority areas for research: Collaboration, Autonomy, Simplicity, Acceptance. The initial programme will tackle current fundamental challenges in each of these areas and develop testbeds for demonstration of results. Over the course of the programme, CESCIR will also conduct responsive research, rapidly testing new ideas to solve real world manufacturing automation challenges. CESCIR will create a network of academia and industry, connecting stakeholders, identifying challenges/opportunities, reviewing progress and sharing results. Open access models and data will enable wider academia to further explore the latest scientific advances. Within the manufacturing industry, large enterprises will benefit as automation can be brought into traditionally manual production processes. Similarly, better accessibility and agility will allow more Small and Medium sized Enterprises (SMEs) to benefit from automation, improving their competitiveness within the global market.
在工厂采用机器人技术/自动化方面,英国远远落后于其他国家。直接与人合作的协作自动化为加强英国制造业和重建英国经济提供了绝佳的机会。它将使企业能够提高生产率,在面临保护就业和增长的外部压力(如新冠肺炎疫情)时变得更灵敏、更具弹性。为了使对自动化的投资能够充满信心,我们需要克服当前的根本障碍。自动化需要更易于设置和使用,更有能力处理复杂的任务,在所能做的事情上更灵活,并发展成以一种受到现有员工和更广泛社会欢迎的方式进行安全和直观的协作。为了克服这些障碍,ISCF智能协作机器人研究中心(CESCIR)与业界合作,确定了四个优先研究领域:协作、自主、简单性和接受性。最初的方案将解决每个领域目前的根本挑战,并开发用于展示成果的试验台。在该计划期间,CESCIR还将进行响应性研究,快速测试解决现实世界制造自动化挑战的新想法。CESCIR将建立一个学术界和产业界的网络,将利益攸关方联系起来,确定挑战/机遇,审查进展情况并分享成果。开放获取模型和数据将使更广泛的学术界能够进一步探索最新的科学进展。在制造业内,大型企业将受益,因为自动化可以纳入传统的手工生产过程。同样,更好的可获得性和灵活性将使更多的中小型企业(SME)受益于自动化,提高它们在全球市场上的竞争力。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Object Shape Error Modelling and Simulation During Early Design Phase by Morphing Gaussian Random Fields
- DOI:10.1016/j.cad.2023.103481
- 发表时间:2020-10
- 期刊:
- 影响因子:0
- 作者:Manoj Babu;P. Franciosa;Prashant Shekhar;D. Ceglarek
- 通讯作者:Manoj Babu;P. Franciosa;Prashant Shekhar;D. Ceglarek
Fusing optical coherence tomography and photodiodes for diagnosis of weld features during remote laser welding of copper-to-aluminum
- DOI:10.2351/7.0000803
- 发表时间:2023-02
- 期刊:
- 影响因子:2.1
- 作者:Tine Brežan;P. Franciosa;M. Jezeršek;D. Ceglarek
- 通讯作者:Tine Brežan;P. Franciosa;M. Jezeršek;D. Ceglarek
Degenerate boundaries for multiple-alternative decisions.
- DOI:10.1038/s41467-022-32741-y
- 发表时间:2022-08-29
- 期刊:
- 影响因子:16.6
- 作者:
- 通讯作者:
Understanding Deepfakes: A Comprehensive Analysis of Creation, Generation, and Detection
了解 Deepfakes:对创建、生成和检测的综合分析
- DOI:10.54941/ahfe1003290
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Alanazi S
- 通讯作者:Alanazi S
A multi-physics CFD study to investigate the impact of laser beam shaping on metal mixing and molten pool dynamics during laser welding of copper to steel for battery terminal-to-casing connections
- DOI:10.1016/j.jmatprotec.2023.118202
- 发表时间:2023-10
- 期刊:
- 影响因子:6.3
- 作者:Giovanni Chianese;Qamar Hayat;S. Jabar;P. Franciosa;Dariusz Ceglarek;S. Patalano
- 通讯作者:Giovanni Chianese;Qamar Hayat;S. Jabar;P. Franciosa;Dariusz Ceglarek;S. Patalano
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Niels Lohse其他文献
A novel robot-assisted calibration procedure for Optical Coordinate Measuring Systems
一种用于光学坐标测量系统的新型机器人辅助校准程序
- DOI:
10.1016/j.precisioneng.2025.05.016 - 发表时间:
2025-10-01 - 期刊:
- 影响因子:3.700
- 作者:
Connor Gill;Adam Haynes;Laura Justham;James Dobrzanski;Richard Buswell;Niels Lohse;Peter Kinnell - 通讯作者:
Peter Kinnell
CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs
- DOI:
10.1016/j.procir.2016.06.004 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:
- 作者:
Antonio Maffei;Lorenzo Daghini;Andreas Archenti;Niels Lohse - 通讯作者:
Niels Lohse
Realising human-robot collaboration in manufacturing? A journey towards industry 5.0 amid organisational paradoxical tensions
在制造业中实现人机协作?在组织矛盾紧张局势中迈向工业 5.0 的旅程
- DOI:
10.1016/j.techfore.2025.124249 - 发表时间:
2025-10-01 - 期刊:
- 影响因子:13.300
- 作者:
Tiziana C. Callari;Ylenia Curzi;Niels Lohse - 通讯作者:
Niels Lohse
Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models
迈向工业机器人即服务(IRaaS):灵活性、可用性、安全性和商业模式
- DOI:
10.1016/j.rcim.2022.102484 - 发表时间:
2023-06-01 - 期刊:
- 影响因子:11.400
- 作者:
Achim Buerkle;William Eaton;Ali Al-Yacoub;Melanie Zimmer;Peter Kinnell;Michael Henshaw;Matthew Coombes;Wen-Hua Chen;Niels Lohse - 通讯作者:
Niels Lohse
Rapid and automated configuration of robot manufacturing cells
- DOI:
10.1016/j.rcim.2024.102862 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:
- 作者:
Seemal Asif;Mikel Bueno;Pedro Ferreira;Paul Anandan;Ze Zhang;Yue Yao;Gautham Ragunathan;Lloyd Tinkler;Masoud Sotoodeh-Bahraini;Niels Lohse;Phil Webb;Windo Hutabarat;Ashutosh Tiwari - 通讯作者:
Ashutosh Tiwari
Niels Lohse的其他文献
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{{ truncateString('Niels Lohse', 18)}}的其他基金
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 - 财政年份:2021
- 资助金额:
$ 614.37万 - 项目类别:
Research Grant
Flexible and Reconfigurable Laser Processing Tool (FlexLase)
灵活且可重新配置的激光加工工具 (FlexLase)
- 批准号:
EP/N508913/1 - 财政年份:2016
- 资助金额:
$ 614.37万 - 项目类别:
Research Grant
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