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

基本信息

  • 批准号:
    0519152
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-06-15 至 2011-05-31
  • 项目状态:
    已结题

项目摘要

How does the brain work with the human body to control behavior? This question holds many deep issues that are central to the behavioral and cognitive sciences. Some of them are more philosophical in nature (like the famous mind/body problem of Cartesian dualism), while others are more mechanical. One of the most general mechanical issues with behavioral control is often referred to as the "degrees of freedom" problem. The problem is that action goals may very often be reached by many different paths of action. To illustrate, imagine the act of picking up a cup of coffee. Healthy adults take this act for granted as trivially easy, but from the perspective of the human brain and body, there is non-trivial problem to be solved. The problem is that there is a vast number of distinct trajectories of the torso, arms, and fingers that may all suffice to accomplish the task of lifting the cup. How does the system choose among the vast array of possibilities so efficiently and effortlessly?With support of the National Science Foundation, Dr. Santello and Dr. Gordon will conduct a series of experiments on human grasp behaviors to better understand the nature of behavioral control. The experiments will focus on the coordination of the fingers in response to the forces that are imposed upon them while maintaining the goal of holding an object and not allowing it to slip or tilt. Prior research suggests that grasping behaviors are governed in part by a tendency to simplify the control of the fingers, which helps to alleviate the degrees of freedom problem. However, there is also reason to believe that this tendency is itself a complex phenomenon because what is simple may depend on the particularities of the grasping task. The primary aim of this collaborative research project is to investigate the task-dependency of grasp control. Grasping serves as a simple laboratory task for more generally investigating the remarkably flexible and adaptive nature of human behavior. The knowledge to be gained in this research project may also inform the development of more dexterous robotic manipulators, as well as remotely operated machinery that is capable of handling fragile or dangerous objects.
大脑如何与人体一起控制行为? 这个问题包含了许多对行为科学和认知科学至关重要的深层次问题。 其中一些在本质上更具哲学性(如笛卡尔二元论中著名的心灵/身体问题),而另一些则更具机械性。 行为控制中最常见的机械问题之一通常被称为“自由度”问题。 问题是,行动目标往往可以通过许多不同的行动途径来实现。 举个例子,想象一下拿起一杯咖啡的动作。 健康的成年人认为这是理所当然的,但从人类大脑和身体的角度来看,有一个不小的问题需要解决。 问题是,躯干、手臂和手指有大量不同的轨迹,这些轨迹可能都足以完成举起杯子的任务。 这个系统是如何在众多的可能性中如此有效和毫不费力地做出选择的呢?在美国国家科学基金会的支持下,Santello博士和Gordon博士将对人类抓握行为进行一系列实验,以更好地理解行为控制的本质。 这些实验将集中在手指的协调,以响应施加在它们身上的力,同时保持握住物体的目标,不允许它滑动或倾斜。 先前的研究表明,抓握行为部分受到简化手指控制的趋势的影响,这有助于缓解自由度问题。 然而,也有理由相信,这种倾向本身就是一种复杂的现象,因为什么是简单的可能取决于抓取任务的特殊性。 这项合作研究项目的主要目的是研究抓取控制的任务依赖性。 抓握是一项简单的实验室任务,用于更广泛地研究人类行为的显著灵活性和适应性。在这个研究项目中获得的知识也可以为开发更灵巧的机器人操纵器以及能够处理脆弱或危险物体的遥控机械提供信息。

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:
    --
  • 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:
    --
  • 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:
    --
  • 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:
    --
  • 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:
    --
  • 项目类别:
    Standard Grant
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
  • 批准号:
    1153034
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Continuing 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:
    --
  • 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:
    --
  • 项目类别:
    Standard Grant

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