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狗在崎岖地形上疾驰时,其肢体协调模式和步态变化与在平坦地形上相似。

Dog galloping on rough terrain exhibits similar limb co-ordination patterns and gait variability to that on flat terrain.

机构信息

Structure and Motion Laboratory, Royal Veterinary College, University of London, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, United Kingdom.

出版信息

Bioinspir Biomim. 2021 Mar 8;16(1):015001. doi: 10.1088/1748-3190/abb17a.

Abstract

Understanding how animals regulate their gait during locomotion can give biological insight and inspire controllers for robots. Why animals use the gallop at the highest speeds remains incompletely explained. Hypothesized reasons for galloping include that it enables recruitment of spinal musculoskeletal structures, that it minimizes energy losses as predicted by collisional theory, or that it provides extended flight phases with more time for leg placement and hence enhances or provides necessary maneuverability [Alexander 1988 Am. Zool. 28 237-45; Ruina, Bertram and Srinivasan 2005 J. Theor. Biol. 237 170-92; Usherwood 2019 J. Exp. Zool. Part A 333 9-19; Hildebrand1989 Bioscience 39 766-75]. The latter-most hypothesis has implications in robotics, where controllers based on the concept of multistability have gained some traction. Here we examine this hypothesis by studying the dynamics of dog gait on flat and rough terrain. This hypothesis predicts that injection of noise into timing and location of ground contacts during the galloping gait by rough terrain will result in an isotropically more noisy gallop gait, centered around the gallop used on flat terrain. We find that dog gait in terms of leg swing timing on rough terrain is not consistently more variable about the mean gait, and constrain the upper limits of this variability to values that are unlikely to be biologically relevant. However the location of the mean gait indeed only shifts by a small amount. Therefore, we find limited support for this hypothesis. This suggests that achieving a target gallop gait with tight regulation is still the desired behavior, and that large amounts of variability in gait are not a desired feature of the gallop. For robotics, our results suggest that the emergent animal-environment dynamics on rough terrain do not exhibit uniformly wider basins of attraction. Future robotics work could test whether controllers that do or do not allow shifts in mean gait and gait variability produce more economical and/or stable gallops.

摘要

了解动物在运动过程中如何调节步态,可以提供生物学见解,并为机器人的控制器提供灵感。为什么动物在最高速度下使用疾驰仍然没有得到完全解释。疾驰的假设原因包括它能够招募脊髓骨骼肌肉结构,它根据碰撞理论最小化能量损失,或者它提供了更长的飞行阶段,有更多的时间进行腿部放置,从而提高或提供必要的机动性[亚历山大 1988 年,美国动物学杂志 28 237-45;鲁尼亚、伯特拉姆和斯里尼瓦桑 2005 年,理论生物学杂志 237 170-92;乌舍伍德 2019 年,实验动物学杂志 333 9-19;希尔德布兰德 1989 年,生物科学 39 766-75]。后一种假设在机器人技术中有影响,基于多稳定性概念的控制器已经获得了一些关注。在这里,我们通过研究狗在平坦和粗糙地形上的步态动力学来检验这一假设。该假设预测,在疾驰步态中通过粗糙地形向地面接触的时间和位置注入噪声,将导致疾驰步态的各向同性噪声更大,以平坦地形上使用的疾驰为中心。我们发现,狗在粗糙地形上的腿部摆动时间的步态不是始终围绕着平均步态更具可变性,并且将这种可变性的上限限制在不太可能具有生物学意义的范围内。然而,平均步态的位置确实只移动了很小的量。因此,我们对这一假设的支持有限。这表明,用严格的调控来实现目标疾驰步态仍然是理想的行为,而疾驰步态的大量可变性不是疾驰的理想特征。对于机器人技术,我们的研究结果表明,在粗糙地形上,动物与环境的动态不会表现出均匀更宽的吸引域。未来的机器人技术工作可以测试是否允许平均步态和步态可变性发生变化的控制器产生更经济和/或稳定的疾驰步态。

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