Energy optimization and locomotion control: task, strategy, and mechanisms

能量优化和运动控制：任务、策略和机制

• 批准号: RGPIN-2019-05305
• 负责人: Bertram, John
• 金额: $ 2.4万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=715457
• 关键词: Energy; optimization; locomotion; control; task

Why does an individual walk or run as they do? Determining why specific control strategies are implemented is the goal of our research program. Based on emerging evidence, we suspect that minimizing energetic cost has an important effect on the movement strategy chosen. We use a range of manipulations to expose the role of energetic cost on individual response in order to map energetic cost effects and identify the mechanisms involved in minimizing locomotion cost. These studies are organized into three project streams that my group will work on over the next 5 years (and beyond). Normal walking and running are a solution to the challenges faced by moving on legs, but the actual problems solved by these gaits are not necessarily self-evident. It is our goal to identify the constraints and opportunities available. This fills a critical gap where sensory input and motor output coordination and within limb mechanics must integrate with the physical (dynamic) environment the individual or organism moves within. Our focus is on the latter component, determining what the leg needs to do in order to generate effective locomotion, and why a particular solution is appropriate over all others (and by how much so). This as a key factor putting central nervous system (CNS) action within a functional context, so the motor control decision process can be analyzed and interpreted. The long term goal is achieved by considering the solution space available to the CNS and evaluating how a normally functioning individual/organism selects from that array of options. Short term studies employ a three stage process: (a) use optimization models to identify the functional solution space available, (b) verify that the models represent realistic empirical (human or animal) movement in the same circumstance, then (c) interrogate the model to identify the trade-offs that determine the optimization solution. Each project stream opens a novel approach to the core problem (understanding gait strategy selection). The projects allow controlled manipulation of the gait environment, providing the opportunity to directly compare model predictions (hypothesis) with empirical quantification of motor strategy expression. Organization of projects into related streams allows division of projects that make the projects amenable to participation by HQP at both the undergraduate and graduate levels. Project stream 1 uses a custom designed computer controlled oscillating harness that applies a cyclic impulse to the trunk, enabling analysis of the machine-human interaction. Project stream 2 addresses the problem of quadrupedal gait, developing original dynamics based models to understand how animal form affects locomotion. Project stream 3 takes advantage of the unusual movement strategies employed in parkour (urban gymnastics) to quantitatively map energetic consequences of a number of standard maneuvers that will allow direct experimental evaluation of movement strategy choice.

为什么一个人会像他们那样走路或跑步？确定为什么实施特定的控制策略是我们研究计划的目标。基于新出现的证据，我们怀疑，最大限度地减少能源成本的运动策略的选择有重要影响。我们使用了一系列的操作，以暴露精力充沛的成本对个人的反应，以映射精力充沛的成本效应，并确定在运动成本最小化的机制。这些研究被组织成三个项目流，我的团队将在未来5年（及以后）开展工作。正常的步行和跑步是解决双腿移动所面临的挑战的一种方法，但这些步态解决的实际问题并不一定是不言而喻的。我们的目标是确定现有的限制和机会。这填补了感觉输入和运动输出协调以及肢体力学必须与个人或有机体在其中移动的物理（动态）环境相结合的关键空白。我们的重点是后一个组成部分，确定腿需要做什么才能产生有效的运动，以及为什么一个特定的解决方案比所有其他解决方案都合适（以及合适的程度）。这是将中枢神经系统（CNS）动作置于功能背景下的关键因素，因此可以分析和解释运动控制决策过程。通过考虑CNS可用的解决方案空间并评估功能正常的个体/生物体如何从该选项阵列中选择来实现长期目标。短期研究采用三个阶段的过程：（a）使用优化模型来识别可用的功能解决方案空间，（B）验证模型在相同情况下代表现实的经验（人类或动物）运动，然后（c）询问模型以识别确定优化解决方案的权衡。每个项目流都为核心问题（理解步态策略选择）打开了一个新的方法。这些项目允许步态环境的受控操纵，提供了直接比较模型预测（假设）与运动策略表达的经验量化的机会。将项目组织成相关的流程，可以对项目进行划分，使项目适合本科生和研究生水平的HQP参与。项目流1使用定制设计的计算机控制的振荡线束，该线束向躯干施加周期性脉冲，从而能够分析人机交互。项目流2解决了四足步态的问题，开发了基于动力学的原始模型，以了解动物形态如何影响运动。项目流3利用跑酷（城市体操）中采用的不寻常的运动策略，定量绘制了一些标准动作的能量后果，这些标准动作将允许对运动策略选择进行直接的实验评估。