课题基金 / 基金详情

Made Smarter Innovation - Research Centre for Smart, Collaborative Industrial Robotics

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
批准号:
EP/V062158/1
负责人:
Niels Lohse
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
项目状态:
未结题
起止时间:
2021 至 --

项目摘要

项目成果

Niels Lohse的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cad.2023.103481
发表时间: 2020-10
期刊: Comput. Aided Des.
影响因子: --
作者: [Manoj Babu;P. Franciosa;Prashant Shekhar;D. Ceglarek]
通讯作者: Manoj Babu;P. Franciosa;Prashant Shekhar;D. Ceglarek
DOI: 10.2351/7.0000803
发表时间: 2023-02
期刊: Journal of Laser Applications
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
DOI: 10.1038/s41467-022-32741-y
发表时间: 2022-08-29
期刊: Nature communications
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: --
作者: [Alanazi S]
通讯作者: Alanazi S
9
    Industrial Robots-as-a-Service (IRaaS) - Resilient and responsive manufacturing systems enabled by rapidly deployable mobile robots
    • 批准号:
      EP/V050966/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $182.98万
    • 财政年份:
      2021
    • 负责人:
      Niels Lohse
    • 依托单位:
    Flexible and Reconfigurable Laser Processing Tool (FlexLase)
    • 批准号:
      EP/N508913/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $13.53万
    • 财政年份:
      2016
    • 负责人:
      Niels Lohse
    • 依托单位:
    海外基金