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 Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

735
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...
735
Machines: Problem Solving II01:30

Machines: Problem Solving II

328
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
328
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K
PD Controller: Design01:26

PD Controller: Design

272
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,...
272

You might also read

Related Articles

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

Sort by
Same author

Emergent and controllable behaviors of Janus swarmalator collectives.

Nature communications·2026
Same author

Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Description of a collaborative sperm whale birth and shifts in coda vocal styles during key events.

Scientific reports·2026
Same author

Cooperation by non-kin during birth underpins sperm whale social complexity.

Science (New York, N.Y.)·2026
Same author

Agile legged locomotion in reconfigurable modular robots.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

A general soft robotic controller inspired by neuronal structural and plastic synapses that adapts to diverse arms, tasks, and perturbations.

Science advances·2026
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: Jul 15, 2025

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

11.7K

Efficient automatic design of robots.

David Matthews1, Andrew Spielberg2, Daniela Rus2

  • 1Center for Robotics and Biosystems, Northwestern University, Evanston, IL 60208.

Proceedings of the National Academy of Sciences of the United States of America
|October 3, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for rapid robot design, optimizing structure and behavior in seconds. The method efficiently generates legged locomotion from random body plans, promising faster creation of specialized robots.

Keywords:
AIlocomotionmorphologyrobotics

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

14.0K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.0K

Related Experiment Videos

Last Updated: Jul 15, 2025

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

11.7K
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

14.0K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.0K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Evolutionary Computation

Background:

  • Robot design is complex due to interdependencies between physical structure, sensors, motors, and behavior.
  • Manual robot design is time-consuming, requiring months or years of iteration.
  • Existing evolutionary algorithms for robot design are computationally expensive, taking days for simulation.

Purpose of the Study:

  • To develop a rapid, automated method for robot design and optimization.
  • To overcome the inefficiencies of current robot design and evolutionary algorithms.
  • To enable the de novo design of robots that exhibit specific desired behaviors.

Main Methods:

  • Implemented a novel de novo optimization algorithm for robot structure and behavior.
  • Utilized evolutionary computation on a single consumer-grade computer, optimizing from a random apodous body plan.
  • Focused on achieving legged locomotion as a primary desired behavior.

Main Results:

  • Achieved robot design optimization within seconds, significantly faster than previous methods.
  • Successfully generated robots with legged locomotion from random starting configurations.
  • Demonstrated that manufactured robots retained the designed behavior.

Conclusions:

  • The new algorithm offers near-instantaneous robot design and optimization.
  • This approach bypasses the need for predefined anatomical forms, discovering efficient locomotion.
  • Potential for rapid, automated fabrication and deployment of robots for diverse applications.