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Mobile Robotics: Enabling a Pervasive Technology of the Future

Mobile Robotics: Enabling a Pervasive Technology of the Future
移动机器人:实现未来的普及技术
批准号:
EP/M019918/1
负责人:
Paul Newman
金额:
$636.03万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
VISION: To create, run and exploit the world's leading research programme in mobile autonomy addressing fundamental technical issues which impede large scale commercial and societal adoption of mobile robotics.AMBITION: We need to build better robots - we need them to be cheap, work synergistically with people in large, complex and time-changing environments and do so for long periods of time. Moreover, it is essential that they are safe and trusted. We are compelled as researchers to produce the foundational technologies that will see robots work in economically and socially important domains. These motivations drive the science in this proposal. STRATEGY: Robotics is fast advancing to a point where autonomous systems can add real value to the public domain. The potential reach of mobile robotics in particular is vast, covering sectors as diverse as transport, logistics, space, defence, agriculture and infrastructure management. In order to realise this potential we need our robots to be cheap, work synergistically with people in large, complex and time-changing environments and do so robustly for long periods of time. Our aim, therefore, is to create a lasting, catalysing impact on UKPLC by growing a sustainable centre of excellence in mobile autonomy. A central tenet to this research is that the capability gap between the state of the art and what is needed is addressed by designing algorithms that leverage experiences gained through real and continued world use. Our machines will operate in support of humans and seamlessly integrate into complex cyber-physical systems with a variety of physical and computational elements. We must, therefore, be able to guarantee, and even certify, that the software that controls the robots is safe and trustworthy by design. We will engage in this via a range of flagship technology demonstrators in different domains (transport, logistics, space, etc.), which will mesh the research together, giving at once context, grounding, validation and impact.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
ArXiv e-prints
ArXiv 电子印刷品
DOI: --
发表时间: 2017
期刊: Geometric Multi-Model Fitting with a Convex Relaxation Algorithm
影响因子: --
作者: [Amayo P]
通讯作者: Amayo P
Rational verification: game-theoretic verification of multi-agent systems
理性验证:多智能体系统的博弈论验证
DOI: 10.1007/s10489-021-02658-y
发表时间: 2021
期刊: Applied Intelligence
影响因子: 5.3
作者: [Abate A]
通讯作者: Abate A
What goes around: leveraging a constant-curvature motion constraint in radar odometry
发生了什么:利用雷达里程计中的恒定曲率运动约束
DOI: --
发表时间: 2022
期刊: IEEE Robotics and Automation Letters, 7(3), 7865-7872
影响因子: --
作者: [Aldera R]
通讯作者: Aldera R
Approximate Policy Iteration for Markov Decision Processes via Quantitative Adaptive Aggregations
通过定量自适应聚合进行马尔可夫决策过程的近似策略迭代
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者: [Abate A]
通讯作者: Abate A
Responsive RAs for the Birmingham Experimental Particle Physics Programme
  • 批准号:
    ST/X005976/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $102.15万
  • 财政年份:
    2023
  • 负责人:
    Paul Newman
  • 依托单位:
Birmingham Experimental Particle Physics Consolidated Grant 2022-25
  • 批准号:
    ST/W000652/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $467.65万
  • 财政年份:
    2022
  • 负责人:
    Paul Newman
  • 依托单位:
GridPP6 Birmingham Tier-2 Hardware Tranche-2 (2022-2024)
  • 批准号:
    ST/W007193/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $14.65万
  • 财政年份:
    2021
  • 负责人:
    Paul Newman
  • 依托单位:
Experimental Particle Physics Consolidated Grant 2019-2022
  • 批准号:
    ST/S000860/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $427.22万
  • 财政年份:
    2019
  • 负责人:
    Paul Newman
  • 依托单位:
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