论文标题

强大的两足球运动:利用盐矩阵进行步态优化

Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization

论文作者

Tucker, Maegan, Csomay-Shanklin, Noel, Ames, Aaron D.

论文摘要

在双皮德机器人上生成健壮步态的能力是他们在硬件上成功实现的关键。为此,这项工作扩展了混合零动力学(HZD)的方法 - 传统上,该方法仅在完美影响事件下通过周期性约束来说明机车稳定性 - 通过纳入盐矩阵,并旨在合成强大的步行步态。通过将扩展的盐矩阵的规范和步态生成过程中的机器人的扭矩共同最小化,我们证明了合成的步态比单独使用任何一个术语产生的步态更强大。这些结果显示在模拟和硬件中,用于琥珀色3M平面和Atalante低体外外骨骼(无论有没有人类)。最终结果是实验验证,即在实践中将盐矩阵与HZD方法结合起来会产生更健壮的两足步行。

The ability to generate robust walking gaits on bipedal robots is key to their successful realization on hardware. To this end, this work extends the method of Hybrid Zero Dynamics (HZD) -- which traditionally only accounts for locomotive stability via periodicity constraints under perfect impact events -- through the inclusion of the saltation matrix with a view toward synthesizing robust walking gaits. By jointly minimizing the norm of the extended saltation matrix and the torque of the robot directly in the gait generation process, we demonstrate that the synthesized gaits are more robust than gaits generated with either term alone; these results are shown in simulation and on hardware for the AMBER-3M planar biped and the Atalante lower-body exoskeleton (both with and without a human subject). The end result is experimental validation that combining saltation matrices with HZD methods produces more robust bipedal walking in practice.

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