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

Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

5.8K
When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
5.8K
Combinatorial Gene Control02:33

Combinatorial Gene Control

9.7K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
9.7K
Control System Problem01:21

Control System Problem

437
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
437
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

475
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
475
Control Systems01:10

Control Systems

1.9K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.9K
Controller Configurations01:22

Controller Configurations

381
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
381

You might also read

Related Articles

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

Sort by
Same author

Dissolving microneedles with desferrioxamine-loaded Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene for rapid healing of microbial-infected wounds.

International journal of pharmaceutics·2026
Same author

Continuous posterior extrathoracic fascial plane block versus continuous paravertebral block for pain management in patients with multiple rib fractures: possible influence of fracture location on analgesic efficacy. Comment on Br J Anaesth 2025; 136:677-86.

British journal of anaesthesia·2026
Same author

Lactate Dehydrogenase as a Potential Mediator Between Immature Granulocytes and Tumor Burden in Breast Cancer.

Journal of inflammation research·2026
Same author

Association Between Peripheral Blood Lymphocyte Count and HER2 Status in Breast Cancer: A Retrospective Study.

International journal of women's health·2026
Same author

Associations between cochlear electrophysiology, emotional health, and sleep quality in adults with tinnitus: a comprehensive analysis.

Frontiers in psychiatry·2026
Same author

Epidemiology, risk factors, and mortality of Candida bloodstream infection in Yulin, China: a 7-year retrospective study.

BMC infectious diseases·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

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

16.0K

Efficient Force Control Learning System for Industrial Robots Based on Variable Impedance Control.

Chao Li1, Zhi Zhang2, Guihua Xia3

  • 1College of Automation, Harbin Engineering University, Harbin 150001, China. li_chao@hrbeu.edu.cn.

Sensors (Basel, Switzerland)
|August 8, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a data-efficient learning variable impedance control for industrial robots, significantly reducing interaction requirements for learning contact force control in unstructured environments.

Keywords:
Gaussian processesefficient learningforce controlindustrial robotvariable impedance control

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

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

Published on: October 14, 2017

12.2K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

448

Related Experiment Videos

Last Updated: Feb 7, 2026

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

16.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

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

Published on: October 14, 2017

12.2K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

448

Area of Science:

  • Robotics
  • Control Engineering
  • Machine Learning

Background:

  • Variable impedance control enhances robotic force control performance.
  • Current methods suffer from data-inefficiency, limiting real-world applications.
  • Learning force control in unstructured environments requires efficient interaction strategies.

Purpose of the Study:

  • Develop a data-efficient learning variable impedance control method.
  • Enable industrial robots to autonomously learn contact force control.
  • Improve sampling efficiency and reduce interaction requirements.

Main Methods:

  • Learned a Gaussian process model as a system proxy for internal simulation.
  • Incorporated model uncertainty into long-term planning to mitigate bias.
  • Regulated impedance profiles online using a learned humanlike impedance strategy.

Main Results:

  • Achieved efficient strategy updates through internal simulation.
  • Effectively reduced model bias by considering model uncertainty.
  • Enhanced system flexibility and adaptivity in force control tasks.

Conclusions:

  • The proposed method significantly improves data efficiency in learning variable impedance control.
  • Enables robots to learn complex force control tasks with fewer interactions.
  • Demonstrated effectiveness in both simulated and experimental tests on an industrial manipulator.