Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Root-Locus Method

Root-Locus Method

A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...

You might also read

Related Articles

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

Sort by

Same author

Microglial PTP1B promotes synaptic pathology and cognitive deficits in chronic Toxoplasma gondii infection.

Brain, behavior, and immunity·2026

Same author

Stellar feedback drives the baryon deficiency in low-mass galaxies.

Science advances·2026

Same author

A scalable framework for single-cell eQTL mapping uncovers genetic regulators of meat production traits in pigs.

Journal of animal science and biotechnology·2026

Same author

PARK7 alleviates high-altitude pulmonary edema by suppressing BACH1 to attenuate lipid peroxidation-driven pro-inflammatory skewing of macrophages.

Pathology, research and practice·2026

Same author

Progress in Ultrasound Research on Non-Mass Breast Lesions: Definition, Classification, and Differential Diagnosis.

Diagnostics (Basel, Switzerland)·2026

Same author

PTP1B in astrocytes drives pathogen-induced neurodegeneration.

Journal of neuroinflammation·2026

Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 27, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Real-Time Footprint Planning and Model Predictive Control Based Method for Stable Biped Walking.

Song Wang¹, Songhao Piao¹, Xiaokun Leng¹

¹School of Computer Science, Harbin Institute of Technology, Harbin, China.

Computational Intelligence and Neuroscience

|April 11, 2022

Summary

This summary is machine-generated.

This study enhances bipedal walking stability by improving push recovery using capture point (CP) and model predictive control (MPC). The method ensures robots maintain balance against disturbances for more robust locomotion.

More Related Videos

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

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

Published on: July 22, 2014

Experimental Methods to Study Human Postural Control

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Related Experiment Videos

Last Updated: Sep 27, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

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

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

Published on: July 22, 2014

Experimental Methods to Study Human Postural Control

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Area of Science:

Robotics
Control Systems
Biomechanics

Background:

Bipedal robots face challenges maintaining stability during locomotion due to external disturbances.
Current methods for push recovery in bipedal walking require enhancement for persistent conditions.

Purpose of the Study:

To improve the push recovery performance of bipedal robots.
To develop a stable walking method using capture point (CP) and model predictive control (MPC).

Main Methods:

Predicting the trajectories of the zero moment point (ZMP) and center of mass within a finite time horizon.
Integrating an online footprint generator with MPC for walking pattern generation.
Utilizing ZMP projection to determine the next footprint and incrementally reach the target CP.

Main Results:

The proposed method enables stable bipedal walking by ensuring stability over the next few steps.
The system successfully uses ZMP projection to guide the robot towards the target CP.
Simulations and experiments verified the effectiveness of the stable biped walking approach.

Conclusions:

The combined approach of CP and MPC significantly enhances push recovery in bipedal robots.
The online footprint generator and ZMP projection provide a robust mechanism for stable locomotion.
The validated method offers a promising solution for real-world bipedal robot applications.