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Experimental Validation of a Framework for the Design of Controllers that Induce Stable Walking in Planar Bipeds

Westervelt, E. R., Buche, G., Grizzle, J. W.·2004·The International Journal of Robotics Research

Abstract

In this paper we present the experimental validation of a framework for the systematic design, analysis, and performance enhancement of controllers that induce stable walking in N -link underactuated planar biped robots. Controllers designed via this framework act by enforcing virtual constraints—holonomic constraints imposed via feedback—on the robot’s configuration, which create an attracting two-dimensional invariant set in the full walking model’s state space. Stability properties of resulting walking motions are easily analyzed in terms of a two-dimensional subdynamic of the full walking model. A practical introduction to and interpretation of the framework is given. In addition, in this paper we develop the ability to regulate the average walking rate of the biped to a continuum of values by modification of within-stride and stride-boundary characteristics, such as step length.

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Metadata

Authors
Westervelt, E. R., Buche, G., & Grizzle, J. W.
Venue
The International Journal of Robotics Research
Published
2004-06
Volume
23
Issue
6
Pages
559-582
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W2079407617
Cited by
168
References
0
FWCI
8.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experimental Validation of a Framework for the Design of Controllers that Induce Stable Walking in Planar Bipeds. https://app.cochat.ai/papers/10.1177/0278364904044410
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Westervelt, E. R., Buche, G., & Grizzle, J. W. (2004). Experimental Validation of a Framework for the Design of Controllers that Induce Stable Walking in Planar Bipeds. The International Journal of Robotics Research. https://doi.org/10.1177/0278364904044410

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.