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

Open and closed-loop control systems01:17

Open and closed-loop control systems

1.3K
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...
1.3K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

521
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
521
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

619
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...
619
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

636
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
636
Torque Free Motion01:15

Torque Free Motion

629
The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
629
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.1K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Material removal mechanism elucidated by a novel cross-scale model using a unified physical framework linking macroscopic stress distribution and microscopic motion states of abrasives for polishing.

Nanoscale·2026
Same author

Zhuyeqing Liquor Extract Ameliorates Oxidative Stress and Neuroinflammation in D-Galactose-Induced Aging Mice Model.

Foods (Basel, Switzerland)·2026
Same author

Systematic Evaluation of Biologically Inspired Motion Detection Models: From LGMD and EMD to Hybrid Spiking Neural Networks.

Biomimetics (Basel, Switzerland)·2026
Same author

A Unified Deep-Learning Framework for Smart Gas Sensing.

ACS sensors·2026
Same author

From Empirical Ratio Tuning to Mechanistic Insight: Decoding NiO-ZnO Heterojunction Effects in Gas Sensing via Explainable Machine Learning.

ACS sensors·2026
Same author

A Correlational Analysis between the Rate of Force Development among the Arm Stroke, the Leg Kick, the Full Stroke and Short Distance Front Crawl Speed in Highly Trained Swimmers.

Journal of human kinetics·2026

Related Experiment Video

Updated: Nov 9, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

15.7K

Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS.

Bowei Zhang1, Pengcheng Liu1

  • 1Department of Computer Science, University of York, York, UK.

Peerj. Computer Science
|April 9, 2021
PubMed
Summary
This summary is machine-generated.

This study benchmarks robot controllers, comparing basic and advanced types. It evaluates their performance in pick-and-place tasks and robustness against external forces, analyzing accuracy and efficiency.

Keywords:
AccuracyBenchmarkingControlEfficiencyGazeboROSRobotic armRobustness

More Related Videos

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
07:40

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

14.9K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.3K

Related Experiment Videos

Last Updated: Nov 9, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

15.7K
Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
07:40

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

14.9K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.3K

Area of Science:

  • Robotics
  • Control Systems Engineering

Background:

  • Robot controllers are crucial for managing robot behavior and mitigating external disturbances.
  • Diverse controller types exist, each with unique characteristics influencing robot performance.

Purpose of the Study:

  • To compare the performance differences between basic and advanced robot controllers within the same category.
  • To evaluate controller effectiveness through standardized testing and robustness assessments.

Main Methods:

  • Benchmarking selected controllers using pre-set pick-and-place tasks.
  • Conducting robustness tests involving external force interference.
  • Analyzing Position and Effort data to assess accuracy, control efficiency, jitter, and robustness.

Main Results:

  • Performance variations observed between different robot controller types under standardized tasks.
  • Demonstrated ability of controllers to recover from external force disturbances.
  • Quantified differences in accuracy, efficiency, jitter, and robustness across tested controllers.

Conclusions:

  • The study provides a comparative analysis of robot controller performance.
  • Identified areas for future research in controller benchmarking and improvement methodologies.