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

Types of Damping01:20

Types of Damping

6.5K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
6.5K
Damped Oscillations01:07

Damped Oscillations

5.8K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
5.8K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

157
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
157
Magnetic Damping01:17

Magnetic Damping

513
Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
513
PD Controller: Design01:26

PD Controller: Design

307
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
307
Mechanical Systems01:22

Mechanical Systems

250
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
250

You might also read

Related Articles

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

Sort by
Same author

Exploring LLM-powered multi-session human-robot interactions with university students.

Frontiers in robotics and AI·2025
Same author

Exploiting the intrinsic deformation of a prosthetic foot to estimate the center of pressure and ground reaction force.

Bioinspiration & biomimetics·2020
Same author

Analysis and Improvements in AprilTag Based State Estimation.

Sensors (Basel, Switzerland)·2019
Same author

Design of the musculoskeletal leg <math> </math> based on the physiology of mono-articular and biarticular muscles in the human leg.

Bioinspiration & biomimetics·2019
Same author

A Variable Stiffness Actuator Module With Favorable Mass Distribution for a Bio-inspired Biped Robot.

Frontiers in neurorobotics·2019
Same author

Design of variable-damping control for prosthetic knee based on a simulated biped.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2013
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: Aug 7, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.4K

Muscular Damping Distribution Strategy for Bio-Inspired, Soft Motion Control at Variable Precision.

Patrick Vonwirth1, Karsten Berns1

  • 1Department of Computer Science, RPTU Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel robotic control strategy inspired by biological muscle properties to achieve more natural robot motion. This bio-inspired compliant control enhances robotic systems by integrating distributed damping across the entire drive train.

Keywords:
artificial musclesbio-inspiredcontrolhumanoidimpedanceseries elastic actuator

More Related Videos

Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

8.8K
Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers
07:09

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers

Published on: August 17, 2018

9.1K

Related Experiment Videos

Last Updated: Aug 7, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.4K
Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

8.8K
Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers
07:09

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers

Published on: August 17, 2018

9.1K

Area of Science:

  • Robotics
  • Biomechanical Engineering
  • Control Theory

Background:

  • Roboticists have long pursued bio-inspired and compliant control for natural motion.
  • Biological research has identified diverse muscular properties and motion characteristics.
  • A gap exists between robotics and biological research concerning natural motion and muscle coordination.

Purpose of the Study:

  • To bridge the gap between robotics and biological research by introducing a novel robotic control strategy.
  • To develop a simple yet efficient distributed damping control strategy by applying biological characteristics to electrical series elastic actuators.
  • To create a biologically motivated control that covers the entire robotic drive train.

Main Methods:

  • Applied biological characteristics to electrical series elastic actuators.
  • Developed a distributed damping control strategy.
  • Theoretically discussed and experimentally evaluated the control strategy on the bipedal robot Carl.

Main Results:

  • Demonstrated a novel robotic control strategy inspired by biological muscle properties.
  • Successfully implemented a distributed damping control across the robotic drive train.
  • Experimental evaluation on a bipedal robot confirmed the strategy's effectiveness.

Conclusions:

  • The proposed strategy effectively integrates biological principles into robotic control.
  • This bio-inspired approach is suitable for developing more complex robotic tasks.
  • The novel muscular control philosophy advances natural robot motion capabilities.