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一个简单的模型预测了狗在能量优化下的跳跃行为。

A simple model predicts energetically optimised jumping in dogs.

机构信息

Queen's School of Engineering, University of Bristol, Bristol BS8 1TR, UK

Queen's School of Engineering, University of Bristol, Bristol BS8 1TR, UK.

出版信息

J Exp Biol. 2018 May 4;221(Pt 9):jeb167379. doi: 10.1242/jeb.167379.

Abstract

It is generally accepted that animals move in a way that minimises energy use during regular gait and there is evidence that the principle might extend more generally to locomotor behaviour and manoeuvres. Jumping during locomotion is a useful manoeuvre that contributes to the versatility of legged locomotion and is within the repertoire of many terrestrial animals. We describe a simple ballistic model that can be used to identify a single unique trajectory of the body's centre of mass that minimises the mechanical work to initiate a jump, regardless of the approach velocity or take-off position. The model was used to show that domestic dogs () demonstrate complex anticipatory control of locomotor behaviour by systematically using jump trajectories close to those that minimised the mechanical energy of jumps over raised obstacles. It is unclear how the dogs acquired the complex perception and control necessary to exhibit the observed behaviour. The model may be used to investigate whether animals adopt energetically optimised behaviour in any similarly constrained ballistic task.

摘要

人们普遍认为,动物在常规步态中以最小化能量消耗的方式移动,并且有证据表明,这一原则可能更广泛地延伸到运动行为和机动动作中。在运动中跳跃是一种有用的机动动作,有助于提高腿部运动的多功能性,并且是许多陆地动物的行为组合之一。我们描述了一个简单的弹道模型,该模型可用于识别身体质心的唯一独特轨迹,无论接近速度或起飞位置如何,该轨迹都可以最小化启动跳跃的机械功。该模型用于表明家养犬()通过系统地使用接近最小化跳跃越过障碍物的机械能的跳跃轨迹,展示了对运动行为的复杂的预期控制。尚不清楚狗如何获得表现出观察到的行为所需的复杂感知和控制能力。该模型可用于研究动物在任何类似受限制的弹道任务中是否采用节能优化的行为。

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