ArticleFrontiers in neurorobotics2023
Simulating human walking: a model-based reinforcement learning approach with musculoskeletal modeling.
Article in Frontiers in neurorobotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Synergy Feedback Control Predicts Walking Across Multiple Cycles.bioRxiv : the preprint server for biology · 2026Article
- Synergy-based feedforward with minimal feedback control predicts walking over multiple cycles.Frontiers in bioengineering and biotechnology · 2026Article
- A PRISMA systematic review through time on predictive musculoskeletal simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Dynamic biomechanical effects of medial meniscus tears on the knee joint: a finite element analysis.Journal of orthopaedic surgery and research · 2025Article
- Data augmentation of time-series data in human movement biomechanics: A scoping review.PloS one · 2025Article
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2 authors.
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Abstract
Introduction: Recent advancements in reinforcement learning algorithms have accelerated the development of control models with high-dimensional inputs and outputs that can reproduce human movement. However, the produced motion tends to be less human-like if algorithms do not involve a biomechanical human model that accounts for skeletal and muscle-tendon properties and geometry. In this study, we have integrated a reinforcement learning algorithm and a musculoskeletal model including trunk, pelvis, and leg segments to develop control modes that drive the model to walk. Methods: We simulated human walking first without imposing target walking speed, in which the model was allowed to settle on a stable walking speed itself, which was 1.45 Results: Simulated hip and knee kinematics agreed well with those in experimental observations, but ankle kinematics were less well-predicted. Discussion: We finally demonstrated that our reinforcement learning framework also has the potential to model and predict pathological gait that can result from muscle weakness.
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