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

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

4.0K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
4.0K
Muscle Stimulation Frequency01:22

Muscle Stimulation Frequency

3.3K
The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...
3.3K
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.9K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
1.9K
Direct Motor Pathways01:11

Direct Motor Pathways

2.8K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
2.8K
Load-frequency control01:28

Load-frequency control

283
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
283
Motor Unit Stimulation01:20

Motor Unit Stimulation

2.5K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
2.5K

You might also read

Related Articles

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

Sort by
Same author

Editorial: Physical AI and robotics - outputs from IS-PAIR 2025 and beyond.

Frontiers in robotics and AI·2026
Same author

EEG-based dataset explicitly targets the transitions between sitting and standing for exploring neural activation patterns in motor imagery and execution.

GigaScience·2026
Same author

Spinal circuit mechanisms constrain therapeutic windows for ALS intervention: A computational modeling study.

Neurobiology of disease·2026
Same author

Neural dynamics and synaptic plasticity in simple networks drive Lévy flight foraging and obstacle avoidance behaviors for bio-inspired autonomous flight.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Bio-Inspired Approaches-A Leverage for Robotics.

Biomimetics (Basel, Switzerland)·2025
Same author

An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning.

IEEE transactions on neural networks and learning systems·2025

Related Experiment Video

Updated: Oct 10, 2025

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.4K

Locomotion Control With Frequency and Motor Pattern Adaptations.

Mathias Thor1, Beck Strohmer1, Poramate Manoonpong1,2

  • 1Embodied AI and Neurorobotics Lab, SDU Biorobotics, The Mærsk Mc-Kinney Møller Institute, The University of Southern Denmark, Odense, Denmark.

Frontiers in Neural Circuits
|December 13, 2021
PubMed
Summary

This study combines frequency and motor pattern adaptation for legged robot locomotion. Integrating these mechanisms enhances control efficiency and precision in complex environments.

Keywords:
central pattern generatorfrequency adaptationlegged robotlocomotion controlmotor pattern adaptation

More Related Videos

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.4K
Studying the Neural Basis of Adaptive Locomotor Behavior in Insects
10:19

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects

Published on: April 13, 2011

13.0K

Related Experiment Videos

Last Updated: Oct 10, 2025

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.4K
Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.4K
Studying the Neural Basis of Adaptive Locomotor Behavior in Insects
10:19

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects

Published on: April 13, 2011

13.0K

Area of Science:

  • Robotics
  • Control Systems
  • Bio-inspired Engineering

Background:

  • Current adaptive locomotion controllers for legged robots typically focus on a single adaptation type, limiting their scope and practical application.
  • The synergistic effects of combining multiple adaptive mechanisms in robotic locomotion remain largely unexplored, despite their prevalence in biological systems.

Purpose of the Study:

  • To develop and evaluate a novel central pattern generator (CPG)-based locomotion controller that integrates both frequency and motor pattern adaptation mechanisms.
  • To investigate the combined benefits of these adaptation strategies for enhanced and efficient locomotion control in legged robots.

Main Methods:

  • Implemented a CPG-based controller incorporating the Dual Integral Learner for rapid CPG frequency adaptation.
  • Utilized a CPG-RBF network for adaptable motor pattern generation, enabling online adjustments based on sensory feedback and robot morphology.
  • Tested the integrated controller on a hexapod robot operating in a complex, dynamic environment.

Main Results:

  • The integrated controller demonstrated effective adaptive locomotion, enabling the hexapod robot to perform tasks such as straight walking, steering, and step climbing.
  • The Dual Integral Learner achieved high-frequency adaptation with low tracking error, contributing to energy efficiency and precise movement.
  • The CPG-RBF network facilitated sensorimotor integration and online motor pattern adaptation, allowing the robot to adjust to its morphology and environment.

Conclusions:

  • The combination of frequency and motor pattern adaptation mechanisms offers significant advantages for robotic locomotion control, complementing each other effectively.
  • This integrated approach represents a crucial advancement towards developing more sophisticated and versatile adaptive locomotion systems for legged robots.
  • The findings suggest a promising direction for future research in bio-inspired adaptive control strategies for complex robotic behaviors.