Collaborative Research: Sensory Integration and Sensorimotor Transformations for Dexterous Manipulation

合作研究:灵巧操作的感觉统合和感觉运动转化

基本信息

  • 批准号:
    1153034
  • 负责人:
  • 金额:
    $ 32万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-03-15 至 2016-02-29
  • 项目状态:
    已结题

项目摘要

The ability to grasp and manipulate objects is an extremely complex motor behavior. When grasping an object such as a cup, people often vary their finger placements and the forces exerted by the fingers in order to ensure that the goal is attained (in this case, lifting the cup without spilling its contents). How humans do this so efficiently is not known, in part because previous research constrained subjects to place their fingers at pre-specified locations on the objects. This has led to a major gap in our understanding of how these complex motor behaviors are learned, planned, and executed. To address this gap, the proposed studies will investigate how subjects grasp and manipulate objects in tasks that allow them to choose their finger placements and applied forces and, importantly, to adjust the interaction between the two. Another function of grasping is to develop a representation of an object's weight and the distribution of weight within the object. How subjects develop this representation and refine their actions will be examined by studying the interaction between information extracted by grasping and memories of past manipulations of the object. The hypothesis that fingertip placement and forces are learned independently from each other will be tested by manipulating visual feedback of fingertip placement, varying visual shape and density cues, and through object rotation tasks that create a discrepancy between visual cues and memories of the same object from prior manipulations.The proposed studies represent a major paradigm shift in the research on grasping by opening new and fundamental questions about how the brain learns to control the hand. Thus, the results of this work may inform the design of more dexterous robotic manipulators, brain-machine interfaces, and neuroprosthetic hands.
抓握和操纵物体的能力是一种极其复杂的运动行为。当抓住一个物体,如一个杯子,人们往往会改变他们的手指的位置和手指施加的力量,以确保达到目标(在这种情况下,举起杯子,而不溢出其内容)。人类是如何做到这一点的尚不清楚,部分原因是以前的研究限制受试者将手指放在物体上预先指定的位置。这导致我们对这些复杂的运动行为是如何学习,计划和执行的理解存在重大差距。为了解决这一差距,拟议的研究将调查受试者如何抓住和操纵物体的任务,让他们选择他们的手指位置和施加的力量,重要的是,调整两者之间的相互作用。抓握的另一个功能是发展物体重量和物体内重量分布的表示。受试者如何发展这种表征和完善他们的行动将通过研究抓取提取的信息和过去的操作对象的记忆之间的相互作用进行检查。通过操纵指尖放置的视觉反馈,改变视觉形状和密度线索,通过物体旋转任务,在视觉线索和先前操作的同一物体的记忆之间产生差异。拟议的研究代表了抓握研究的重大范式转变,开辟了新的和基本的问题大脑是如何学会控制手的因此,这项工作的结果可能会通知设计更灵巧的机器人操纵器,脑机接口,神经假肢手。

项目成果

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Marco Santello其他文献

Deep Learning Detection of Hand Motion During Microvascular Anastomosis Simulations Performed by Expert Cerebrovascular Neurosurgeons
  • DOI:
    10.1016/j.wneu.2024.09.069
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Thomas J. On;Yuan Xu;Jiuxu Chen;Nicolas I. Gonzalez-Romo;Oscar Alcantar-Garibay;Jay Bhanushali;Wonhyoung Park;John E. Wanebo;Andrew W. Grande;Rokuya Tanikawa;Dilantha B. Ellegala;Baoxin Li;Marco Santello;Michael T. Lawton;Mark C. Preul
  • 通讯作者:
    Mark C. Preul
Behavioral evidence for motor learning and transfer without visual feedback
无视觉反馈的运动学习和迁移的行为证据
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ryuta Kitani;Jiajia Yang;Yinghua Yu;Akinori Kunita;Satoshi Takahashi;Jinlong Wu;Qiushi Fu;Marco Santello
  • 通讯作者:
    Marco Santello
Extending kinematic decoding approaches to kinetics
将运动学解码方法扩展到动力学
  • DOI:
    10.1016/j.plrev.2025.03.007
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    14.300
  • 作者:
    Marco Santello
  • 通讯作者:
    Marco Santello
‘I Said I’m Young You Know I Can Plan Something Good You Know’: Understanding Language and Migration Through Time
“我说我还年轻,你知道我可以计划一些好事情,你知道”:随着时间的推移理解语言和迁徙
  • DOI:
    10.1093/applin/amae031
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Marco Santello
  • 通讯作者:
    Marco Santello
Neuroimaging evidence for tactile object recognition
触觉物体识别的神经影像证据
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ryuta Kitani;Jiajia Yang;Yinghua Yu;Akinori Kunita;Satoshi Takahashi;Jinlong Wu;Qiushi Fu;Marco Santello;Jiajia Yang
  • 通讯作者:
    Jiajia Yang

Marco Santello的其他文献

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{{ truncateString('Marco Santello', 18)}}的其他基金

IUCRC Phase II ASU: Building Reliable Advances and Innovations in Neurotechnology (BRAIN)
IUCRC 第二阶段 ASU:在神经技术 (BRAIN) 领域建立可靠的进步和创新
  • 批准号:
    2137272
  • 财政年份:
    2022
  • 资助金额:
    $ 32万
  • 项目类别:
    Continuing Grant
Collaborative Research: Effector and Task Neural Representations of Hand-Object Interactions
协作研究:手-物体交互的效应器和任务神经表征
  • 批准号:
    1827752
  • 财政年份:
    2018
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
I/UCRC for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
I/UCRC 致力于神经技术 (BRAIN) 领域的可靠进步和创新
  • 批准号:
    1650566
  • 财政年份:
    2017
  • 资助金额:
    $ 32万
  • 项目类别:
    Continuing Grant
Collaborative Research: Sensorimotor control of hand-object interactions
合作研究:手与物体交互的感觉运动控制
  • 批准号:
    1455866
  • 财政年份:
    2015
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
Planning Grant: Collaborative Research: I/UCRC for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
规划资助:合作研究:I/UCRC 建立神经技术的可靠进步和创新 (BRAIN)
  • 批准号:
    1539979
  • 财政年份:
    2015
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
RI: Medium: Collaborative Research: Robotic Hands: Understanding and Implementing Adaptive Grasping
RI:媒介:协作研究:机器人手:理解和实施自适应抓取
  • 批准号:
    0904504
  • 财政年份:
    2009
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
Collaborative Research: Dextrous Control of Multi-Digit Grasping
协作研究:多手指抓取的灵巧控制
  • 批准号:
    0819547
  • 财政年份:
    2008
  • 资助金额:
    $ 32万
  • 项目类别:
    Standard Grant
Collaborative Research: Coordination of Multi-Digit Forces During Grasping
协作研究:抓取过程中多手指力量的协调
  • 批准号:
    0519152
  • 财政年份:
    2006
  • 资助金额:
    $ 32万
  • 项目类别:
    Continuing Grant

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