日本フィジカルAI新聞

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arXiv:1801.07022

Capturability-based Pattern Generation for Walking with Variable Height

Capturability-based Pattern Generation for Walking with Variable Height

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著者: Stéphane Caron, Adrien Escande, Leonardo Lanari, Bastien Mallein

分類: cs.RO, math.OC

原文アブストラクト

Capturability analysis of the linear inverted pendulum (LIP) model enabled walking with constrained height based on the capture point. We generalize this analysis to the variable-height inverted pendulum (VHIP) and show how it enables 3D 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.