Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Feedback control systems01:26

Feedback control systems

416
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
416
Open and closed-loop control systems01:17

Open and closed-loop control systems

987
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
987

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Collaborative Control for a Robot Manipulator via Interaction-Force-Based Impedance Method and Extremum Seeking Optimization.

Sensors (Basel, Switzerland)·2025
Same author

Obstacle Crossing Path Planning for a Wheel-Legged Robot Using an Improved A* Algorithm.

Sensors (Basel, Switzerland)·2025
See all related articles

Related Experiment Video

Updated: Sep 9, 2025

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.4K

Extremum-Seeking Control for a Robotic Leg Prosthesis with Sensory Feedback.

Ming Pi1

  • 1School of Information and Control Engineering, Southwest University of Science and Technology, Mianyang 621000, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using noninvasive functional electrical stimulation (nFES) to help lower-limb amputees sense ground contact forces, enabling real-time prosthetic leg adjustments for varied terrains.

Keywords:
extremum-seeking controlrobotic leg prosthesissensory feedback

More Related Videos

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K

Related Experiment Videos

Last Updated: Sep 9, 2025

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.4K
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K

Area of Science:

  • Biomechanics and Robotics
  • Neuroprosthetics
  • Control Systems Engineering

Background:

  • Human locomotion relies on sensing leg-ground contact forces to adapt walking speed and leg stiffness.
  • Lower-limb amputees lack this natural sensory feedback, hindering prosthetic leg adaptation to different terrains.

Purpose of the Study:

  • To develop a noninvasive functional electrical stimulation (nFES) system to provide sensory feedback for prosthetic leg control.
  • To enable lower-limb amputees to adjust prosthetic leg parameters in real-time for varied walking terrains.

Main Methods:

  • Utilized noninvasive functional electrical stimulation (nFES) to relay leg-ground contact force information.
  • Implemented an extremum-seeking control (ESC) strategy to optimize prosthetic leg control parameters.
  • Designed a cost function integrating joint tracking errors and stimulation current changes.

Main Results:

  • Demonstrated the stability of the proposed controller incorporating extremum-seeking dynamics.
  • Experimental results confirmed that the ESC method effectively adjusted prosthetic leg parameters based on real-time feedback.
  • The system enabled adaptive control of prosthetic legs across different walking terrains.

Conclusions:

  • The developed nFES system and ESC strategy offer a promising approach for enhancing prosthetic leg functionality.
  • This method allows for natural regulation of prosthetic leg behavior, mimicking human locomotion.
  • Improved sensory feedback and adaptive control can significantly benefit lower-limb amputees in navigating diverse environments.