Neuromuscular Model-Based Sensing And Control Paradigm For A Robotic Leg

US2016207201A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016207201-A1
Application numberUS-201514978445-A
CountryUS
Kind codeA1
Filing dateDec 22, 2015
Priority dateApr 18, 2012
Publication dateJul 21, 2016
Grant date

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Abstract

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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.

First claim

Opening claim text (preview).

1 . A neuromuscular model-based controller for controlling at least one robotic limb joint of a robotic limb, the controller comprising: a) at least one extrinsic sensor that detects at least one extrinsic signal of a subject wearing the robotic limb; b) a neuromuscular model in communication with the at least one extrinsic sensor, the neuromuscular model comprising parameters that are adjusted in response to the at least one extrinsic signal from the extrinsic sensor, the neuromuscular model thereby determining at least one of a position command, a torque command and an impedance command; and c) a control system in communication with the neuromuscular model, whereby the control system receives at least one of the position command, the torque command and the impedance command from the neuromuscular model and controls at least one of position, torque and impedance of the robotic limb joint. 2 . The neuromuscular model-based controller of claim 1 , wherein the neuromuscular model includes a muscle model, whereby parameters that determine the relation between muscle feedback data, including at least one of muscle length, muscle contractile velocity and muscle force, and activation of the muscle model are adjusted consequent to the at least one extrinsic signal of the extrinsic sensor. 3 . The neuromuscular model-based controller of claim 1 , wherein the at least one extrinsic signal is an electromyographic signal. 4 . The neuromuscular model-based controller of claim 1 , wherein the position command is generated by integration of the torque command. 5 . The neuromuscular model-based controller of claim 3 wherein the control system compares the position command to a robotic joint state and applies a feedback control to the robotic limb. 6 . The neuromuscular model-based controller of claim 1 , wherein the extrinsic sensor is a brain sensor. 7 . The neuromuscular model-based controller of claim 1 , wherein the extrinsic sensor is an extrinsic neural sensor. 8 . The neuromuscular model-based controller of claim 7 , wherein the extrinsic neural sensor includes at least one member selected from the group consisting of: an electrode to measure an electromyographic signal of biological limb musculature; peripheral neural implants for efficient sensing of motor neuron axons; and central brain implants for sensing of brain motor commands.

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Classifications

  • B25J9/1694Primary

    characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion · CPC title

  • B62D57/032Primary

    with alternately or sequentially lifted supporting base and legs; with alternately or sequentially lifted feet or skid (B62D57/024 takes precedence) · CPC title

  • Mobile robot · CPC title

  • Simulation, modeling of muscle, musculoskeletal dynamical system · CPC title

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What does patent US2016207201A1 cover?
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 s…
Who is the assignee on this patent?
Massachusetts Inst Technology
What technology area does this patent fall under?
Primary CPC classification B25J9/1694. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Jul 21 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).