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.
Video¶
Content¶
Paper | |
Presentation given at NTU on 14 May 2018 | |
Capture Problem Solver (C++) | |
Walking controller (C++) | |
Walking trajectory generator (Python) | |
Walking trajectory generator manual: HTML or PDF | |
10.1109/TRO.2019.2923971 |
BibTeX¶
@article{caron2019tro,
title = {Capturability-based Pattern Generation for Walking with Variable Height},
author = {Caron, St{\'e}phane and Escande, Adrien and Lanari, Leonardo and Mallein, Bastien},
journal = {IEEE Transactions on Robotics},
year = {2020},
month = apr,
volume = {36},
number = {2},
pages = {517--536},
url = {https://hal.archives-ouvertes.fr/hal-01689331},
publisher = {IEEE},
doi = {10.1109/TRO.2019.2923971},
}
Discussion ¶
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