论文标题

横向振荡和身体合规性有助于蛇和蛇机器人稳定穿越大而光滑的障碍物

Lateral oscillation and body compliance help snakes and snake robots stably traverse large, smooth obstacles

论文作者

Fu, Qiyuan, Gart, Sean W., Mitchel, Thomas W., Kim, Jin Seob, Chirikjian, Gregory S., Li, Chen

论文摘要

蛇几乎可以穿越任何地形。同样,蛇机器人将承诺视为遍历地震瓦砾等复杂环境的多功能平台。与固有表面上稳定的平坦表面上的蛇运动不同,当蛇通过将身体从平面上变形而横向复杂地形时,维持稳定性变得具有挑战性。在这里,我们回顾了我们最近在理解蛇和蛇机器人如何穿越缺乏抓地力或支撑的锚点的障碍物的最新进展。首先,我们发现通才变量Kingsnake结合了横向振荡和悬臂。无论步进高度和表面摩擦如何,都可以保留整体步态。接下来,为了量化蛇的静态稳定性,我们开发了一种方法,可以在离散的跟踪标记之间以三个维度(位置和方向)插值连续体。通过使用插值连续体3-D运动学分析支撑的基础,我们发现该蛇在遍历过程中保持了完美的稳定性,即使是在最具挑战性的低摩擦,高阶,高阶。最后,我们将该步态应用于蛇机器人,并系统地测试了其性能,遍历具有可变高度的大步,以进一步了解稳定性原理。机器人迅速稳定地穿越步骤,几乎高达其身体长度的三分之一。随着步长的增加,机器人更频繁地滚动到翻转的程度,从而降低了遍历概率。在蛇中没有这样的失败,伴随着一个合规的身体,激发了我们对机器人的身体依从性。通过更好的表面接触,兼容的身体机器人的滚动不稳定性较小,并以较高的概率遍历高台阶,而无需牺牲横穿速度。与大多数以前的蛇机器人相比,我们的机器人在接近动物的机器人方面更快地穿越了大台阶障碍。

Snakes can move through almost any terrain. Similarly, snake robots hold the promise as a versatile platform to traverse complex environments like earthquake rubble. Unlike snake locomotion on flat surfaces which is inherently stable, when snakes traverse complex terrain by deforming their body out of plane, it becomes challenging to maintain stability. Here, we review our recent progress in understanding how snakes and snake robots traverse large, smooth obstacles that lack anchor points for gripping or bracing. First, we discovered that the generalist variable kingsnake combines lateral oscillation and cantilevering. Regardless of step height and surface friction, the overall gait is preserved. Next, to quantify static stability of the snake, we developed a method to interpolate continuous body in three dimensions (both position and orientation) between discrete tracked markers. By analyzing the base of support using the interpolated continuous body 3-D kinematics, we discovered that the snake maintained perfect stability during traversal, even on the most challenging low friction, high step. Finally, we applied this gait to a snake robot and systematically tested its performance traversing large steps with variable heights to further understand stability principles. The robot rapidly and stably traversed steps nearly as high as a third of its body length. As step height increased, the robot rolled more frequently to the extent of flipping over, reducing traversal probability. The absence of such failure in the snake with a compliant body inspired us to add body compliance to the robot. With better surface contact, the compliant body robot suffered less roll instability and traversed high steps at higher probability, without sacrificing traversal speed. Our robot traversed large step-like obstacles more rapidly than most previous snake robots, approaching that of the animal.

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