End-point robot manipulandum

终点机器人操作器

• 批准号: RTI-2022-00389
• 负责人: Henriques, Denise
• 金额: $ 10.63万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=742949
• 关键词: End; point; robot; manipulandum

Much of my current research program involves investigating sensorimotor learning. Specifically, my work characterizes the role of sensory plasticity in motor learning and this successful program has been continuously funded by my NSERC Discovery Grants since 2005. This research program investigates both the visual and sensory induced (proprioceptive) contributions to motor learning and motor control of the arm, as well as proprioceptive (felt) acuity of the hand motion. Being able to rigorously measure and control movements of the arm is necessary to quantify proprioceptive acuity and understanding and model its contribution to motor learning and motor control. I have published 36 peer-reviewed articles (11 in the past 5 years alone) that involved these carefully controlled movement of the hand using a CFI-funded InMotion2 robot manipulandum that I acquired in 2005. After 15 years of regular use, this manipulandum is no longer operating despite replacing all the computer components. To continue this important research, it is urgent that we purchase a replacement, like a Kinarm endpoint robot, to fulfill the goals of my NSERC-funded program to investigate and model how the brain combines different types of sensory information to control and adapt movements. Such replacement will also allow my HQPs to complete their dissertations and continue local and international collaborations which will benefit Canada to gain high profile in this field. Moreover, a new robot manipulandum platform would also allow me to incorporate more sophisticated virtual reality stimuli and thereby expand my research program to address how the brain learns, and stores information about object and tool dynamics that are necessary for interacting with objects. The results of my research will provide a richer understanding of the sources of information used by the brain for controlling, correcting, adapting and learning new movements, and the neural mechanisms underlying the incorporation of this information. The results will provide not only fundamental insight into location estimates of our effectors, but also into how we learn movement-related properties of objects that we interact with and manipulate. This has important practical benefits for the development of tools and environments that are easier to manipulate and navigate. In general, the insights gained from the proposed research will lead to improved technology for rehabilitation, better human-machine interfaces, and better motor-skills training for all levels of performance.

我目前的大部分研究项目都涉及到感觉运动学习。具体来说，我的工作特点的感觉可塑性在运动学习的作用，这个成功的计划一直由我的NSERC发现赠款自2005年以来持续资助。该研究项目调查视觉和感觉诱导（本体感受）对手臂运动学习和运动控制的贡献，以及手部运动的本体感受（感觉）敏锐度。能够严格测量和控制手臂的运动是必要的，以量化本体感受敏锐度和理解，并模拟其对运动学习和运动控制的贡献。我已经发表了36篇同行评议的文章（仅在过去5年中就有11篇），其中涉及使用我在2005年获得的CFI资助的InMotion2机器人操纵器仔细控制手部的运动。经过15年的正常使用，尽管更换了所有的计算机组件，但这台机器已经不再运行。为了继续这项重要的研究，我们迫切需要购买一个替代品，比如Kinarm端点机器人，以实现我的NSERC资助项目的目标，即研究和建模大脑如何结合不同类型的感觉信息来控制和适应运动。这样的替换也将使我的HQP完成他们的论文，并继续当地和国际合作，这将有利于加拿大在这一领域获得高知名度。此外，一个新的机器人操纵平台也将使我能够融入更复杂的虚拟现实刺激，从而扩展我的研究计划，以解决大脑如何学习，并存储有关物体和工具动力学的信息，这些信息是与物体交互所必需的。我的研究结果将提供一个更丰富的理解的信息来源的大脑用于控制，纠正，适应和学习新的动作，以及神经机制的基础上纳入这些信息。这些结果不仅将为我们的效应器的位置估计提供基本的见解，而且还将为我们如何学习与我们交互和操纵的对象的运动相关属性提供基本的见解。这对于开发更易于操作和导航的工具和环境具有重要的实际好处。总的来说，从拟议的研究中获得的见解将导致改进的康复技术，更好的人机界面，以及更好的运动技能训练，以适应所有级别的表现。