当前位置: X-MOL 学术IEEE Trans. Robot. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Capturability-Based Pattern Generation for Walking With Variable Height
IEEE Transactions on Robotics ( IF 7.8 ) Pub Date : 2020-04-01 , DOI: 10.1109/tro.2019.2923971
Stephane Caron , Adrien Escande , Leonardo Lanari , Bastien Mallein

Capturability analysis of the linear inverted pendulum (LIP) model enabled walking with constrained height based on the capture point. In this paper, we generalize this analysis to the variable-height inverted pendulum (VHIP) and show how it enables 3-D walking over uneven terrains based on capture inputs. Thanks to a tailored optimization scheme, we can compute these inputs fast enough for real-time model predictive control. We implement this approach as open-source software and demonstrate it in dynamic simulations.

中文翻译:

基于可捕获性的可变高度步行模式生成

线性倒立摆 (LIP) 模型的可捕获性分析支持基于捕获点以受限高度行走。在本文中,我们将此分析推广到可变高度倒立摆 (VHIP),并展示它如何基于捕获输入在不平坦的地形上实现 3D 行走。由于定制的优化方案,我们可以足够快地计算这些输入以进行实时模型预测控制。我们将这种方法实现为开源软件,并在动态模拟中进行演示。
更新日期:2020-04-01
down
wechat
bug