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From Sensing to Collaboration: Engineering, Exploring and Exploiting the Building Blocks of Embodied Intelligence - An EPSRC Programme Grant

From Sensing to Collaboration: Engineering, Exploring and Exploiting the Building Blocks of Embodied Intelligence - An EPSRC Programme Grant
从感知到协作:工程、探索和利用体现智能的构建模块 - EPSRC 计划资助
批准号:
EP/V000748/1
负责人:
Ingmar Posner
金额:
$763.83万
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

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中文摘要
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英文摘要
Our robots are too specialised, too impoverished in their sensing, too uncooperative and too unsafe to be productive at scale. To contribute to productivity in strategically important areas such as social care, manufacturing, logistics, service, inspection or agriculture, future generations of robots need to be able to sense, interpret, act, navigate, coordinate and collaborate with an hitherto unprecedented acuity. VISION: The overarching aim of this research programme is to deliver autonomous systems which amplify human capacity and potential. These robots must be capable of performing a broad array of bespoke tasks effectively, and with a minimum of operator intervention. In a sustainable national centre of excellence we will grow the technology and people substrate for robust embodied intelligence, i.e. the science and technology to enable robots to robustly and flexibly act, interact and collaborate in the real world. STRATEGY: Our focus is on engineering, exploring and exploiting the building blocks of integrated embodied intelligence to deliver autonomous systems which, over the course of their life-time, acquire the sensing, perception, manipulation, navigation, collaboration and problem solving abilities required to allow them to operate unaided while significantly enhancing human productivity. We will significantly expand the reach and versatility of robots in domains of strategic and commercial value by exploiting synergies across research disciplines, which only emerge when deploying robot systems. In doing so we are driven by both fundamental science questions and real-world applications. Together with our partners, we have a clear scope in mind: versatile, collaborative robots whose societal and economic footprint is vast. Our work will underpin a national strategic aim with a carefully considered and coherent programme of research: from sensing to collaboration.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning
RAMP:评估机器人装配操作和规划的基准
DOI: 10.1109/lra.2023.3330611
发表时间: 2023
期刊: IEEE Robotics and Automation Letters
影响因子: 5.2
作者: [Collins J]
通讯作者: Collins J
DOI: 10.1109/lra.2021.3098457
发表时间: 2021-10
期刊: IEEE Robotics and Automation Letters
影响因子: 5.2
作者: [A. Albini;G. Cannata;P. Maiolino]
通讯作者: A. Albini;G. Cannata;P. Maiolino
Time-bounded large-scale mission planning under uncertainty for UV disinfection
紫外线消毒不确定性下有时间限制的大规模任务规划
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Brudermüller L]
通讯作者: Brudermüller L
Beta residuals: improving fault-tolerant control for sensory faults via bayesian inference and precision learning
Beta 残差:通过贝叶斯推理和精度学习改进感知故障的容错控制
DOI: --
发表时间: 2022
期刊: IFAC-PapersOnLine, 55(6), 285-291
影响因子: --
作者: [Baioumy M]
通讯作者: Baioumy M
8
    Mobile Robotic Inspector: Learning to Explore and Manipulate in the Real World
    • 批准号:
      EP/Z531212/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $158.73万
    • 财政年份:
      2024
    • 负责人:
      Ingmar Posner
    • 依托单位:
    Robot Navigation, Perception and Planning for Intelligent Energy Management in Electric Vehicles
    • 批准号:
      EP/K034472/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12.64万
    • 财政年份:
      2014
    • 负责人:
      Ingmar Posner
    • 依托单位:
    国内基金
    海外基金
    Supply Chain Collaboration in addressing Grand Challenges: Socio-Technical Perspective
    • 批准号:
      --
    • 项目类别:
      外国青年学者研究基金项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      Lim Jia Jia
    • 依托单位: