The DOI matches its Crossref record.
Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models
Abstract
This two-part paper discusses the analysis and control of legged locomotion in terms of N-step capturability: the ability of a legged system to come to a stop without falling by taking N or fewer steps. We consider this ability to be crucial to legged locomotion and a useful, yet not overly restrictive criterion for stability. In this part (Part 1), we introduce a theoretical framework for assessing N-step capturability. This framework is used to analyze three simple models of legged locomotion. All three models are based on the 3D Linear Inverted Pendulum Model. The first model relies solely on a point foot step location to maintain balance, the second model adds a finite-sized foot, and the third model enables the use of centroidal angular momentum by adding a reaction mass. We analyze how these mechanisms influence N-step capturability, for any N > 0. Part 2 will show that these results can be used to control a humanoid robot.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Gaze and the Control of Foot Placement When Walking in Natural Terrain
Matthis, J. S., Yates, J. L., & Hayhoe, M. M. (2018) · Current Biology · doi:10.1016/j.cub.2018.03.008 · Cited by 424
Control of human gait stability through foot placement
Bruijn, S. M., & van Dieën, J. H. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0816 · Cited by 424
High-speed bounding with the MIT Cheetah 2: Control design and experiments
Park, H.-W., Wensing, P. M., & Kim, S. (2017) · The International Journal of Robotics Research · doi:10.1177/0278364917694244 · Cited by 267
Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway
Gong, Y., Hartley, R., Da, X., Hereid, A., Harib, O., Huang, J.-K., & Grizzle, J. (2019) · 2019 American Control Conference (ACC) · doi:10.23919/acc.2019.8814833 · Cited by 221
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
Li, Z., Cheng, X., Peng, X. B., Abbeel, P., Levine, S., Berseth, G., & Sreenath, K. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra48506.2021.9560769 · Cited by 219
Metadata
- Authors
- Koolen, T., de Boer, T., Rebula, J., Goswami, A., & Pratt, J.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2012-07-03
- Volume
- 31
- Issue
- 9
- Pages
- 1094-1113
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2079995373
- Cited by
- 483
- References
- 0
- FWCI
- 15.35
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models. https://app.cochat.ai/papers/10.1177/0278364912452673
- The paper
- Koolen, T., de Boer, T., Rebula, J., Goswami, A., & Pratt, J. (2012). Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models. The International Journal of Robotics Research. https://doi.org/10.1177/0278364912452673
Data sources
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.