Biorobotics Laboratory, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Front Comput Neurosci. 2014 Mar 7;8:27. doi: 10.3389/fncom.2014.00027. eCollection 2014.
In this work we research the role of body dynamics in the complexity of kinematic patterns in a quadruped robot with compliant legs. Two gait patterns, lateral sequence walk and trot, along with leg length control patterns of different complexity were implemented in a modular, feed-forward locomotion controller. The controller was tested on a small, quadruped robot with compliant, segmented leg design, and led to self-stable and self-stabilizing robot locomotion. In-air stepping and on-ground locomotion leg kinematics were recorded, and the number and shapes of motion primitives accounting for 95% of the variance of kinematic leg data were extracted. This revealed that kinematic patterns resulting from feed-forward control had a lower complexity (in-air stepping, 2-3 primitives) than kinematic patterns from on-ground locomotion (νm4 primitives), although both experiments applied identical motor patterns. The complexity of on-ground kinematic patterns had increased, through ground contact and mechanical entrainment. The complexity of observed kinematic on-ground data matches those reported from level-ground locomotion data of legged animals. Results indicate that a very low complexity of modular, rhythmic, feed-forward motor control is sufficient for level-ground locomotion in combination with passive compliant legged hardware.
在这项工作中,我们研究了在具有柔顺腿部的四足机器人中,身体动力学在运动模式复杂性中的作用。两种步态模式,即横向序列行走和小跑,以及不同复杂程度的腿部长度控制模式,都在模块化的前馈运动控制器中实现。该控制器在一个带有柔顺分段腿部设计的小型四足机器人上进行了测试,导致了机器人自稳定和自我稳定的运动。在空中行走和在地面上的运动腿部运动学被记录下来,并提取了占运动学腿部数据方差 95%的运动基元的数量和形状。这表明,前馈控制产生的运动模式的复杂性较低(空中行走,2-3 个基元),而来自地面运动的运动模式的复杂性较高(νm4 个基元),尽管两个实验都应用了相同的电机模式。通过地面接触和机械牵连,地面运动模式的复杂性增加了。观察到的地面运动数据的复杂性与那些来自腿部动物水平地面运动数据的复杂性相匹配。结果表明,非常低复杂度的模块化、有节奏的、前馈电机控制足以与被动柔顺腿部硬件相结合,实现水平地面运动。