OpenSim Moco: Musculoskeletal optimal control

• Published in: PLoS computational biology Vol. 16; no. 12; p. e1008493
• Main Authors: Dembia, Christopher L., Bianco, Nicholas A., Falisse, Antoine, Hicks, Jennifer L., Delp, Scott L.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.12.2020; Public Library of Science (PLoS)
• Subjects: Algorithms; Biology and Life Sciences; Biomechanical Phenomena; Biomechanics; Computational biology; Computer simulation; Computer-generated environments; Control; Differential equations; Energy consumption; Humans; Kinematics; Libraries; Mechanical properties; Medicine and Health Sciences; Methods; Models, Biological; Movement - physiology; Muscle function; Muscles; Musculoskeletal Physiological Phenomena; Musculoskeletal system; Optimal control; Optimization; Parameters; Physical Sciences; Research and Analysis Methods; Researchers; Simulation; Software; Solvers; Stiffness; System dynamics; Walking; United States

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 m...