Moro Federico L, Spröwitz Alexander, Tuleu Alexandre, Vespignani Massimo, Tsagarakis Nikos G, Ijspeert Auke J, Caldwell Darwin G
Department of Advanced Robotics, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genoa, Italy.
Biol Cybern. 2013 Jun;107(3):309-20. doi: 10.1007/s00422-013-0551-9. Epub 2013 Mar 6.
This manuscript proposes a method to directly transfer the features of horse walking, trotting, and galloping to a quadruped robot, with the aim of creating a much more natural (horse-like) locomotion profile. A principal component analysis on horse joint trajectories shows that walk, trot, and gallop can be described by a set of four kinematic Motion Primitives (kMPs). These kMPs are used to generate valid, stable gaits that are tested on a compliant quadruped robot. Tests on the effects of gait frequency scaling as follows: results indicate a speed optimal walking frequency around 3.4 Hz, and an optimal trotting frequency around 4 Hz. Following, a criterion to synthesize gait transitions is proposed, and the walk/trot transitions are successfully tested on the robot. The performance of the robot when the transitions are scaled in frequency is evaluated by means of roll and pitch angle phase plots.
本文提出了一种将马行走、小跑和疾驰的特征直接转移到四足机器人上的方法,目的是创建一个更加自然(类似马的)运动轮廓。对马关节轨迹进行主成分分析表明,行走、小跑和疾驰可以用一组四个运动学运动基元(kMPs)来描述。这些kMPs用于生成有效的、稳定的步态,并在一个柔顺四足机器人上进行测试。步态频率缩放效果测试如下:结果表明,速度最优的行走频率约为3.4Hz,最优的小跑频率约为4Hz。随后,提出了一种合成步态转换的准则,并在机器人上成功测试了行走/小跑转换。通过滚动角和俯仰角相位图评估机器人在频率缩放时转换的性能。