In this work, we demonstrate how proprioceptive actuators using brushless DC motors can effectively emulate musculoskeletal dynamics. Using a simplified muscle model, we calculate muscle forces in real-time and then generate equivalent joint motor torques for an arbitrary number and arrangement of muscles. We validate our approach by comparing a single motor-driven physical pendulum to a simulated model, demonstrating that the motors can replicate muscle-like behavior, including variable stiffness and damping. These results suggest that proprioceptive actuators can act as artificial muscles and provide a realistic platform to study neuromechanical control.

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Proprioceptive Motors as Emulators for Musculoskeletal Dynamics

  • Clayton B. Jackson,
  • Elijah T. Shew,
  • Roger D. Quinn,
  • William R. P. Nourse

摘要

In this work, we demonstrate how proprioceptive actuators using brushless DC motors can effectively emulate musculoskeletal dynamics. Using a simplified muscle model, we calculate muscle forces in real-time and then generate equivalent joint motor torques for an arbitrary number and arrangement of muscles. We validate our approach by comparing a single motor-driven physical pendulum to a simulated model, demonstrating that the motors can replicate muscle-like behavior, including variable stiffness and damping. These results suggest that proprioceptive actuators can act as artificial muscles and provide a realistic platform to study neuromechanical control.