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

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

385
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
385
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

667
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...
667
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.0K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.0K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

490
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...
490
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

576
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
576
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

446
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
446

You might also read

Related Articles

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

Sort by
Same author

Leaping out of the water: Aerial-aquatic locomotion with flapping wings.

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

Swimming with robots: investigating fish locomotion, sensing, and schooling behavior with robotic swimmers.

Nature communications·2026
Same author

Centralized brain networks controlling antennal grooming coordination.

Nature communications·2026
Same author

Modular reconfigurable robots: Toward on-demand multifunctional applications.

Science robotics·2026
Same author

Energy efficiency and neural control of continuous versus intermittent swimming in a fishlike robot.

Science robotics·2026
Same author

Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors.

Science robotics·2025

Related Experiment Video

Updated: Jul 4, 2025

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

11.0K

FARMS: Framework for Animal and Robot Modeling and Simulation.

Jonathan Arreguit1,2, Shravan Tata Ramalingasetty1,3, Auke Ijspeert1

  • 1BioRob, School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Biorxiv : the Preprint Server for Biology
|January 31, 2024
PubMed
Summary

FARMS (Framework for Animal and Robot Modeling and Simulation) is an open-source tool for studying animal locomotion and bio-inspired robots. It enhances research in neuroscience, biomechanics, and robotics by providing accessible modeling and simulation capabilities.

More Related Videos

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.1K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.7K

Related Experiment Videos

Last Updated: Jul 4, 2025

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

11.0K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.1K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.7K

Area of Science:

  • Neuroscience
  • Biomechanics
  • Robotics
  • Computational Biology

Background:

  • Understanding animal locomotion and neuromechanical control is crucial for advancements in neuroscience, biomechanics, and robotics.
  • Existing research platforms often present barriers to interdisciplinary collaboration and accessibility for complex modeling and simulation tasks.

Purpose of the Study:

  • To introduce FARMS (Framework for Animal and Robot Modeling and Simulation), an open-source, interdisciplinary framework.
  • To lower barriers for researchers in modeling, simulating, and analyzing animal locomotion and bio-inspired robotic systems.
  • To foster collaboration among neuroscientists, biologists, and roboticists.

Main Methods:

  • Development of an open-source, user-friendly framework named FARMS.
  • Integration of the MuJoCo physics engine for realistic simulations.
  • Modular design to accommodate diverse research needs.

Main Results:

  • FARMS provides an accessible platform for studying neuromechanical control and locomotion.
  • The framework has been successfully applied to model locomotion in various animals (mice, drosophila, fish, salamanders, centipedes).
  • FARMS facilitates the investigation of central pattern generators and sensory feedback in locomotion.

Conclusions:

  • FARMS significantly contributes to a deeper understanding of animal locomotion and neuromechanical principles.
  • The framework supports the development of innovative bio-inspired robotic systems.
  • FARMS promotes accessibility and interdisciplinary collaboration in the field of neuromechanical research.