ArticlePLoS computational biology2020
OpenSim Moco: Musculoskeletal optimal control.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
What it found
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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
87 citing papers in PubMed, 253 citations in OpenAlex.
- Ankle Kinematics and Neuromuscular Activity During the Stair-to-Ground Transition in Individuals With Acute Ankle Sprain: A Cross-Sectional Study.Journal of foot and ankle research · 2026Article
- Cross-bridge model for predicting muscle short-range stiffness during movement.PLoS computational biology · 2026Article
- GaitDynamics: a generative foundation model for analyzing human walking and running.Nature biomedical engineering · 2026Article
- The energetic cost of human standing balance and gait initiation over a range of natural postures.PLoS computational biology · 2026Article
- Synthetic Data-Driven Exoskeleton Control via Contralateral Gait Fusion for Variable-Speed Walking.Biomimetics (Basel, Switzerland) · 2026Article
- Simulation-guided design of exotendons to reduce the energetic cost of running.bioRxiv : the preprint server for biology · 2026Article
- Feasibility of optimizing muscle activation of individuals with spinal cord injuries to reduce caregiver effort in assisted transfers.Journal of neuroengineering and rehabilitation · 2026Article
- The impact of type 2 diabetes on tendon material properties and locomotor function in the db/db mouse.Experimental physiology · 2026Article
- Reproducible Research: Computational Design of Personalized Clinical Treatments for Walking Impairments Using the Neuromusculoskeletal Modeling Pipeline.bioRxiv : the preprint server for biology · 2026Article
- Pareto-Based Diagnostics and Selection for Mechanics-Synergy Trade-Offs in Unmeasured Muscle Activation Reconstruction.Bioengineering (Basel, Switzerland) · 2026Article
- Simulated gait training improves joint loading symmetry in unilateral transfemoral bone-anchored limb users.Journal of biomechanics · 2026Article
- Feasibility of predicting changes in gait biomechanics following muscle strength perturbations using optimal control in patients with transfemoral amputation.Computer methods in biomechanics and biomedical engineering · 2026Article
- Reducing Complexity in Muscle-Tendon Kinematics Parameterization Improves Convergence Speed in Musculoskeletal Simulations.International journal for numerical methods in biomedical engineering · 2026Article
- Continuous Lower Limb Biomechanics Prediction via Prior-Informed Lightweight Marker-GMformer.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Biodegradable MXene-Bamboo Cellulose Paper Electrodes for Green Wearable Sensing and Exoskeleton Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Advancements in Understanding Spasticity: A Neuromusculoskeletal Modeling Perspective.Journal of clinical medicine · 2025Review
- Visualizing joint force-velocity properties in musculoskeletal models.Royal Society open science · 2025Article
- Embodied sensorimotor control: computational modeling of the neural control of movement.ArXiv · 2025Article
- Computational Analysis of Neuromuscular Adaptations to Strength and Plyometric Training: An Integrated Modeling Study.Sports (Basel, Switzerland) · 2025Article
- A physiologically inspired hybrid CPG/Reflex controller for cycling simulations that generalizes to walking.PLoS computational biology · 2025Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Musculoskeletal simulations are used in many different applications, ranging from the design of wearable robots that interact with humans to the analysis of patients with impaired movement. Here, we introduce OpenSim Moco, a software toolkit for optimizing the motion and control of musculoskeletal models built in the OpenSim modeling and simulation package. OpenSim Moco uses the direct collocation method, which is often faster and can handle more diverse problems than other methods for musculoskeletal simulation. Moco frees researchers from implementing direct collocation themselves-which typically requires extensive technical expertise-and allows them to focus on their scientific questions. The software can handle a wide range of problems that interest biomechanists, including motion tracking, motion prediction, parameter optimization, model fitting, electromyography-driven simulation, and device design. Moco is the first musculoskeletal direct collocation tool to handle kinematic constraints, which enable modeling of kinematic loops (e.g., cycling models) and complex anatomy (e.g., patellar motion). To show the abilities of Moco, we first solved for muscle activity that produced an observed walking motion while minimizing squared muscle excitations and knee joint loading. Next, we predicted how muscle weakness may cause deviations from a normal walking motion. Lastly, we predicted a squat-to-stand motion and optimized the stiffness of an assistive device placed at the knee. We designed Moco to be easy to use, customizable, and extensible, thereby accelerating the use of simulations to understand the movement of humans and other animals.
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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.