课题基金 / 基金详情

Morphological computation of perception and action

Morphological computation of perception and action
感知和行动的形态学计算
批准号:
EP/N03211X/1
负责人:
Thrishantha Nanayakkara
金额:
$39.24万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

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中文摘要
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英文摘要
Living beings share the same embodiment for sensing and action. For instance, the spindle sensors that provide the feeling of a joint angle and speed are embedded on the muscles that actuate this joint. The tendon sensors that provide the feeling of force too are directly involved in actuation of the joint. Do the function of these sensors change when the muscles are activated to take action? Does the co-activation of antagonistic muscles play a role not only in actuation, but also in perception? This project will investigate these questions through targeted experiments with human participants and controllable stiffness soft robots that provide greater access to internal variables. Recent experiments we have conducted on localising hard nodules in soft tissues using soft robotic probes have shown that tuning the stiffness of the probe can maximise information gain of perceiving the hard nodule. We have also noticed that human participants use distinct force-velocity modulation strategies in the same task of localising a hard nodule in a soft tissue using the index finger. This raises the question as to whether we can find quantitative criteria to control the internal impedance of a soft robotic probe to maximise the efficacy of manipulating a soft object to perceive its hidden properties like in physical examination of a patient's abdomen. In this project, we will thus use carefully designed probing tasks done by both human participants and a soft robotic probe with controllable stiffness to access various levels of measurable information such as muscle co-contraction, change of speed and force, to test several hypotheses about the role of internal impedance in perception and action. Finally, we will use a human-robot collaborative physical examination task to test the effectiveness of a new soft robotic probe with controllable stiffness together with its stiffness and behaviour control algorithms. We will design and fabricate the novel soft robotic probe so that we can control the stiffness of its soft tissue in which sensors will be embedded to obtain embodied haptic perception. We will also design and fabricate a novel soft abdomen phantom with controllable stiffness internal organs to conduct palpation experiments. The innovation process of the above two designs - the novel probe and the abdomen phantom - will be done in collaboration with three leading industrial partners in the respective areas. The new insights will make a paradigm shift in the way we design soft robots that can share the controllable stiffness embodiment for both perception and action in a number of applications like remote medical interventions, robotic proxies in shopping, disaster response, games, museums, security screening, and manufacturing.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Modelling the structure of object-independent human affordances of approaching to grasp for robotic hands.
对机器人手接近抓取的独立于对象的人类可供性结构进行建模。
DOI: 10.1371/journal.pone.0208228
发表时间: 2018
期刊: PloS one
影响因子: 3.7
作者: [Cotugno G]
通讯作者: Cotugno G
DOI: 10.1016/j.conengprac.2017.12.007
发表时间: 2018-04
期刊: Control Engineering Practice
影响因子: 4.9
作者: [Nicolas Herzig;R. Moreau;T. Redarce;Frederic Abry;X. Brun]
通讯作者: Nicolas Herzig;R. Moreau;T. Redarce;Frederic Abry;X. Brun
DOI: 10.1109/tsmc.2016.2531679
发表时间: 2017-07
期刊: IEEE Transactions on Systems, Man, and Cybernetics: Systems
影响因子: --
作者: [Giuseppe Cotugno;K. Althoefer;T. Nanayakkara]
通讯作者: Giuseppe Cotugno;K. Althoefer;T. Nanayakkara
DOI: 10.1371/journal.pone.0171706
发表时间: 2017
期刊: PloS one
影响因子: 3.7
作者: [Konstantinova J, Cotugno G, Dasgupta P, Althoefer K, Nanayakkara T]
通讯作者: Nanayakkara T
8
    RoboPatient - Robot assisted learning of constrained haptic information gain
    • 批准号:
      EP/T00603X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $137.21万
    • 财政年份:
      2019
    • 负责人:
      Thrishantha Nanayakkara
    • 依托单位:
    Morphological computation of perception and action
    • 批准号:
      EP/N03211X/2
    • 项目类别:
      Research Grant
    • 资助金额:
      $33.53万
    • 财政年份:
      2017
    • 负责人:
      Thrishantha Nanayakkara
    • 依托单位:
    Impedance Control on Uncertain Objects
    • 批准号:
      EP/I028773/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12.44万
    • 财政年份:
      2011
    • 负责人:
      Thrishantha Nanayakkara
    • 依托单位:
    国内基金
    海外基金
    基于分位数g-computation的多污染物联合空气质量健康指数构建及预测效果评价
    • 批准号:
      --
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30万元
    • 批准年份:
      2022
    • 负责人:
      李嘉琛
    • 依托单位:
    基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
    • 批准号:
      81903416
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      19.0万元
    • 批准年份:
      2019
    • 负责人:
      陈永杰
    • 依托单位:
    面向MANET的密钥管理关键技术研究
    • 批准号:
      61173188
    • 项目类别:
      面上项目
    • 资助金额:
      52.0万元
    • 批准年份:
      2011
    • 负责人:
      仲红
    • 依托单位:
    基于计算和存储感知的运动估计算法与结构研究
    • 批准号:
      60803013
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      18.0万元
    • 批准年份:
      2008
    • 负责人:
      邓磊
    • 依托单位: