<p>The OpenSim musculoskeletal model has 9 degrees of freedom and 8 musculotendon actuators per leg. The dynamics of each musculotendon actuator are governed by force-length-velocity properties and first order excitation-activation dynamics. Ground contact is represented by two compliant spheres on each foot with Coulomb friction. The model’s controllers include stretch and force feedback, as well as proportional-derivative control. The parameters of these controllers and 18 initial position and velocities of the model constitute design variables that we optimized to generate simulations of locomotion.</p
Humanoid robotics offers a unique research tool for understanding the human brain and body. The synt...
Inverse dynamics simulation is often used in robotic and mechatronic systems to track a desired traj...
The objective of the project is to create computer-based simulations of human locomotion driven by p...
Musculoskeletal simulations are used in many different applications, ranging from the design of wear...
AbstractMovement science is driven by observation, but observation alone cannot elucidate principles...
<p>Movement arises from a complex orchestration of the neural, muscular, skeletal, and sensory syste...
In the last two decades, in silico approaches based on neuromusculoskeletal modeling and simulation ...
sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1754337112440644 pip.sagepub.com Predictive muscu...
Figure 1: Physics-based simulation of locomotion for a variety of creatures driven by 3D muscle-base...
In this paper, we present an under-actuated model of human walking, comprising only a soleus muscle ...
Computer modeling, simulation and optimization are powerful tools that have seen increased use in bi...
International audienceThis paper presents a neuro-musculoskeletal simulation approach to human gait ...
<p>(A) The model has a point mass body and massless, telescoping legs driven by axial force actuator...
The main goal of this work is to develop a control framework to enable actuated lower-limb exoskelet...
Physics-based predictive simulations of human movement have the potential to support personalized me...
Humanoid robotics offers a unique research tool for understanding the human brain and body. The synt...
Inverse dynamics simulation is often used in robotic and mechatronic systems to track a desired traj...
The objective of the project is to create computer-based simulations of human locomotion driven by p...
Musculoskeletal simulations are used in many different applications, ranging from the design of wear...
AbstractMovement science is driven by observation, but observation alone cannot elucidate principles...
<p>Movement arises from a complex orchestration of the neural, muscular, skeletal, and sensory syste...
In the last two decades, in silico approaches based on neuromusculoskeletal modeling and simulation ...
sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1754337112440644 pip.sagepub.com Predictive muscu...
Figure 1: Physics-based simulation of locomotion for a variety of creatures driven by 3D muscle-base...
In this paper, we present an under-actuated model of human walking, comprising only a soleus muscle ...
Computer modeling, simulation and optimization are powerful tools that have seen increased use in bi...
International audienceThis paper presents a neuro-musculoskeletal simulation approach to human gait ...
<p>(A) The model has a point mass body and massless, telescoping legs driven by axial force actuator...
The main goal of this work is to develop a control framework to enable actuated lower-limb exoskelet...
Physics-based predictive simulations of human movement have the potential to support personalized me...
Humanoid robotics offers a unique research tool for understanding the human brain and body. The synt...
Inverse dynamics simulation is often used in robotic and mechatronic systems to track a desired traj...
The objective of the project is to create computer-based simulations of human locomotion driven by p...