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

One-Degree-of-Freedom System

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Open and closed-loop control systems

Open and closed-loop control systems

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...

Rolling Resistance: Problem Solving

Rolling Resistance: Problem Solving

Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...

You might also read

Related Articles

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

Sort by

Same author

A large language model for multimodal identification of crop diseases and pests.

Scientific reports·2025

Same author

An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information.

Sensors (Basel, Switzerland)·2024

Same author

Two-Stream Retentive Long Short-Term Memory Network for Dense Action Anticipation.

Computational intelligence and neuroscience·2022

Same author

Inhibitory Effects of Isobavachalcone on Tau Protein Aggregation, Tau Phosphorylation, and Oligomeric Tau-Induced Apoptosis.

ACS chemical neuroscience·2020

Same author

Glycyrrhizin, the active compound of the TCM drug Gan Cao stimulates actin remodelling and defence in grapevine.

Plant science : an international journal of experimental plant biology·2020

Same author

His-Rich Domain of Selenoprotein P Ameliorates Neuropathology and Cognitive Deficits by Regulating TrkB Pathway and Zinc Homeostasis in an Alzheimer Model of Mice.

ACS chemical neuroscience·2020

Search research articles

Related Experiment Video

Updated: Oct 3, 2025

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

Discontinuous Track Recognition System Based on PolyLaneNet for Darwin-op2 Robot.

Xi-Bao Wu¹, Si-Chuan Lv¹, Xiao-Hao Wang¹

¹School of Automation, Beijing Information Science and Technology University, Beijing, China.

Computational Intelligence and Neuroscience

|February 14, 2022

Summary

This summary is machine-generated.

This study introduces a novel system for humanoid robots to stably navigate discontinuous tracks by adapting lane detection techniques. The system enables robots with limited processing power to utilize deep learning for improved track recognition and navigation.

More Related Videos

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Related Experiment Videos

Last Updated: Oct 3, 2025

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

Published on: August 31, 2018

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

Robotics
Computer Vision
Artificial Intelligence

Background:

Humanoid robots require robust navigation systems for complex terrains.
Traditional line detection methods struggle with discontinuous or curved tracks, limiting robot stability.
Integrating advanced algorithms on resource-constrained robots presents significant challenges.

Purpose of the Study:

To develop a single-line discontinuous track recognition system for humanoid robots.
To enable stable robot locomotion on challenging, non-continuous track environments.
To facilitate the deployment of deep learning algorithms on robots with limited computational capabilities.

Main Methods:

A system associating humanoid robot track recognition with lane detection was proposed.
The system utilizes a two-part architecture: a robot end for data collection and a graphics computing end for high-performance processing via TCP communication.
The PolyLaneNet lane detection algorithm was employed, trained on first-person perspective images from a darwin-op2 robot.

Main Results:

The system achieved stable running on single-line discontinuous tracks.
Direct recognition from the robot's first-person perspective image was realized, overcoming limitations of traditional methods.
Cooperative work between a PC and the robot enabled deep learning algorithm deployment on low-computational robots.

Conclusions:

The proposed system offers a viable solution for stable robot navigation on discontinuous tracks.
It demonstrates the feasibility of using deep learning on robots with weak computational controllers.
The approach provides a framework for deploying computationally intensive algorithms on similar robotic platforms.