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

Mechanical Systems01:22

Mechanical Systems

193
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...
193
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

688
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
688
Electro-mechanical Systems01:19

Electro-mechanical Systems

946
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
946
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

221
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
221
Control Systems: Applications01:25

Control Systems: Applications

606
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
606
Conservation of Mechanical Energy01:05

Conservation of Mechanical Energy

16.3K
The mechanical energy E of a system is the sum of its potential energy U and the kinetic energy K of the objects within it. What happens to this mechanical energy when only conservative forces cause energy transfers within the system—that is, when frictional and drag forces do not act on the objects in the system? Also assume that the system is isolated from its environment; in other words no external force from an object outside the system causes energy changes inside the system.
When a...
16.3K

You might also read

Related Articles

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

Sort by
Same author

Bioinspired milliscale near-boundary undulatory motion for fluid transport and adhesive locomotion.

Science advances·2026
Same author

Hydrogel-Based Micro/Nanorobots for Advanced Biomedical Applications.

Gels (Basel, Switzerland)·2026
Same author

Fish-diversity-inspired multiple soft millirobot system with morphology-encoded selective control.

Science advances·2026
Same author

Genetically engineered human cell-based microrobots for selective cancer cell death.

Science advances·2026
Same author

Wireless electrostimulation implants enable sphincter neuromuscular improvement toward mixed urinary incontinence.

Nature communications·2026
Same author

Multi-layered marble for hydrogel encapsulation.

Nature communications·2026
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jun 29, 2025

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

13.9K

Integrated mechanical computing for autonomous soft machines.

Junghwan Byun1,2, Aniket Pal1,3, Jongkuk Ko1,4

  • 1Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.

Nature Communications
|April 4, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed integrated mechanical computing using solitary waves in metamaterials. This enables machines to process information without external power, paving the way for intelligent robots and autonomous systems.

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

11.6K
Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

8.8K

Related Experiment Videos

Last Updated: Jun 29, 2025

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

13.9K
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

11.6K
Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

8.8K

Area of Science:

  • Solid mechanics
  • Metamaterials
  • Computational mechanics

Background:

  • Mechanical computing offers autonomous operation without external power.
  • Solitary waves in mechanical metamaterials enable dissipation-free information transmission.
  • Existing designs face limitations in advanced mechanical information processing due to energy dissipation.

Purpose of the Study:

  • To present a metamaterial design for integrated mechanical computing using non-dispersive solitary waves.
  • To enable computation of multi-level cascaded logic functions through networked computing units.
  • To establish an analytical framework for understanding solitary wave-based mechanical computation.

Main Methods:

  • Designing structurally heterogeneous metamaterial units for solitary wave propagation.
  • Utilizing a characteristic potential energy perspective for analytical framework development.
  • Investigating soliton profiles and logic element design for cascaded logic computation.

Main Results:

  • Demonstrated non-dispersive mechanical solitary waves computing multi-level cascaded logic functions.
  • Developed an analytical framework governing solitary wave mechanics for computation.
  • Successfully actuated intelligent soft machine prototypes using integrated mechanical computing systems.

Conclusions:

  • Integrated mechanical computing systems can seamlessly receive, transmit, and compute mechanical information.
  • The findings enable the development of future intelligent robots and machines with non-electrical input processing.
  • This work advances the field of autonomous computation in intelligent matter.