A Neuromuscular Model-Based Sensing and Control Paradigm for a Robotic Leg

A neuromuscular model-based controller for a robotic limb having at least one joint includes a neuromuscular model having a muscle model, muscle geometry and reflex feedback loop to determine at least one torque or impedance command to be sent to the robotic limb. One or more parameters that determine relation between feedback data and activation of the muscle model are adjusted consequent to sensory data from at least one of an intrinsic sensor and an extrinsic sensor. A controller in communication with the neuromuscular model is configured to receive the at least one torque or impedance command and controls at least one of position, torque and impedance of the robotic limb joint.

Researchers

Hugh M Herr / Jing Wang / Pavitra Krishnaswamy / Jared Markowitz / Michael Eilenberg / Ken Endo

Departments: Program in Media Arts and Sciences, Lincoln Laboratory
Technology Areas: Biotechnology: Biomedical Devices & Systems, Prostheses, Sensors & Monitoring / Industrial Engineering & Automation: Robotics

  • neuromuscular model-based sensing and control paradigm for a robotic leg
    United States of America | Granted | 9,975,249

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