Capturability-based Pattern Generation for Walking with Variable Height

Stéphane Caron, Adrien Escande, Leonardo Lanari and Bastien Mallein. IEEE Transactions on Robotics. Submitted January 2018. Revised October 2018 and March 2019. Accepted May 2019.

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

	Pre-print
	Presentation given at NTU on 14 May 2018
	Capture Problem Solver (C++)
	Capture Walking Controller (C++)

Additional content

	Capture Walking Pattern Generator (Python): prototype, not used in the controller
	Walking pattern generator manual in HTML or PDF

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 = {2019},
  month = may,
  url = {https://hal.archives-ouvertes.fr/hal-01689331},
  note = {Accepted},
  publisher = {IEEE},
}