ArticleJournal of the Royal Society, Interface2024
A model of task-level human stepping regulation yields semistable walking.
Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- How visual context influences lateral stepping regulation while walking on winding paths.Journal of neurophysiology · 2026Article
- Visual Context Influences Lateral Balance While Walking on Winding Paths.bioRxiv : the preprint server for biology · 2026Article
- Adapting lateral stepping control to walk on winding paths.Journal of biomechanics · 2025Article
- Probability of lateral instability while walking on winding paths.Journal of biomechanics · 2024Article
- A model of task-level human stepping regulation yields semistable walking.Journal of the Royal Society, Interface · 2024Article
- A model of task-level human stepping regulation yields semistable walking.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
A simple lateral dynamic walker, with swing leg dynamics and three adjustable input parameters, is used to study how motor regulation affects frontal-plane stepping. Motivated by experimental observations and phenomenological models, we imposed task-level multi-objective regulation targeting the walker's optimal lateral foot placement at each step. The regulator prioritizes achieving step width and lateral body position goals to varying degrees by choosing a mixture parameter. Our model thus integrates a lateral
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.