Capturability-based Pattern Generation for Walking with Variable Height
January 22, 2018 Β· Declared Dead Β· π IEEE Transactions on robotics
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Authors
StΓ©phane Caron, Adrien Escande, Leonardo Lanari, Bastien Mallein
arXiv ID
1801.07022
Category
cs.RO: Robotics
Cross-listed
math.OC
Citations
69
Venue
IEEE Transactions on robotics
Last Checked
5 months ago
Abstract
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.
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