Schiebel Perrin E, Shum Jennifer, Cerbone Henry, Wood Robert J
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States of America.
Bioinspir Biomim. 2022 Feb 3;17(2). doi: 10.1088/1748-3190/ac3f7d.
The transition from the lab to natural environments is an archetypal challenge in robotics. While larger robots can manage complex limb-ground interactions using sensing and control, such strategies are difficult to implement on small platforms where space and power are limited. The Harvard Ambulatory Microrobot (HAMR) is an insect-scale quadruped capable of effective open-loop running on featureless, hard substrates. Inspired by the predominantly feedforward strategy of rapidly-running cockroaches on uneven terrain (Sponberg, 2007), we used HAMR to explore open-loop running on two 3D printed heterogeneous terrains generated using fractional Brownian motion. The 'pocked' terrain had foot-scale features throughout while the 'jagged' terrain features increased in height in the direction of travel. We measured the performance of trot and pronk gaits while varying limb amplitude and stride frequency. The frequencies tested encompassed different dynamics regimes: body resonance (10-25 Hz) and kinematic running (30-40 Hz), with dynamics typical of biological running and walking, respectively, and limb-transmission resonance (45-60 Hz). On the featureless and pocked terrains, low mechanical cost-of-transport (mCoT) kinematic running combinations performed best without systematic differences between trot and pronk; indicating that if terrain features are not too tall, a robot can transition from homo-to heterogeneous environments in open-loop. Pronk bypassed taller features than trot on the jagged terrain, and higher mCoT, lower frequency running was more often effective. While increasing input power to the robot improved performance in general, lower frequency pronking on jagged terrain allowed the robot to bypass taller features compared with the same input power at higher frequencies. This was correlated with the increased variation in center-of-mass orientation occurring at frequencies near body resonance. This study established that appropriate choice of robot dynamics, as mediated by gait, frequency, and limb amplitude, can expand the terrains accessible to microrobots without the addition of sensing or closed-loop control.
从实验室环境过渡到自然环境是机器人技术中一个典型的挑战。虽然大型机器人可以通过传感和控制来管理复杂的肢体与地面的相互作用,但在空间和功率有限的小型平台上,实施此类策略却很困难。哈佛移动微型机器人(HAMR)是一种昆虫大小的四足机器人,能够在无特征的坚硬地面上进行有效的开环奔跑。受快速奔跑的蟑螂在不平坦地形上主要采用前馈策略的启发(斯庞伯格,2007年),我们使用HAMR在由分数布朗运动生成的两种3D打印异质地形上探索开环奔跑。“坑洼”地形各处都有足部大小的特征,而“锯齿状”地形的特征则沿行进方向高度增加。我们在改变肢体幅度和步频的同时,测量了小跑和跳跃步态的性能。测试的频率涵盖了不同的动力学范围:身体共振(10 - 25赫兹)和运动学奔跑(30 - 40赫兹),分别具有典型的生物奔跑和行走动力学,以及肢体传输共振(45 - 60赫兹)。在无特征和坑洼地形上,低机械运输成本(mCoT)的运动学奔跑组合表现最佳,小跑和跳跃之间没有系统差异;这表明如果地形特征不是太高,机器人可以在开环状态下从均质环境过渡到异质环境。在锯齿状地形上,跳跃比小跑能越过更高的特征,并且更高的mCoT、更低频率的奔跑通常更有效。虽然一般来说增加机器人的输入功率会提高性能,但在锯齿状地形上,较低频率的跳跃使机器人与相同输入功率下较高频率时相比,能够越过更高的特征。这与在接近身体共振频率时质心方向变化的增加相关。这项研究表明,通过步态、频率和肢体幅度来调节机器人动力学的适当选择,可以在不增加传感或闭环控制的情况下,扩大微型机器人可进入的地形范围。