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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

953
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
953

You might also read

Related Articles

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

Sort by
Same author

Animal-to-robot social attachment: initial requisites in a gallinaceous bird.

Bioinspiration & biomimetics·2016
Same author

Encouraging behavioral diversity in evolutionary robotics: an empirical study.

Evolutionary computation·2011
Same journal

Computing Optimal Populations for Binary Problems using Logic Minimization.

Evolutionary computation·2026
Same journal

Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training.

Evolutionary computation·2026
Same journal

XCS for Sequential Perceptual Aliasing in Multi-Step Decision Making.

Evolutionary computation·2026
Same journal

A dynamic multi-objective evolutionary algorithm using dual-space prediction and surrogate-based sampling.

Evolutionary computation·2026
Same journal

Adapting MOEA/D to CMA-ES for Dealing with Ill-conditioned Multiobjective Problems.

Evolutionary computation·2026
Same journal

Editorial of the Special Issue: Parallel Problem Solving from Nature PPSN 2024 Extended Versions of Best Paper Candidates.

Evolutionary computation·2026
See all related articles

Related Experiment Video

Updated: Apr 18, 2026

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects
10:19

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects

Published on: April 13, 2011

13.4K

Evolving a Behavioral Repertoire for a Walking Robot.

A Cully1, J-B Mouret2

  • 1Sorbonne Universités, UPMC Univ Paris 06, UMR 7222, ISIR, F-75005, Paris, France CNRS, UMR 7222, ISIR, F-75005, Paris, France cully@isir.upmc.fr.

Evolutionary Computation
|January 14, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for legged robots to learn walking in multiple directions. The Transferability-based Behavioral Repertoire Evolution (TBR-Evolution) algorithm enables robots to navigate complex environments efficiently.

Keywords:
Evolutionary algorithmsbehavioral repertoireevolutionary roboticsexplorationhexapod robot.mobile roboticsnovelty search

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.9K
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

16.3K

Related Experiment Videos

Last Updated: Apr 18, 2026

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects
10:19

Studying the Neural Basis of Adaptive Locomotor Behavior in Insects

Published on: April 13, 2011

13.4K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.9K
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

16.3K

Area of Science:

  • Robotics
  • Machine Learning
  • Evolutionary Computation

Background:

  • Legged robots require versatile walking capabilities for real-world tasks.
  • Existing algorithms primarily focus on straight-line locomotion, limiting robot utility.
  • A need exists for algorithms that enable multi-directional walking control.

Purpose of the Study:

  • To introduce a novel evolutionary algorithm, TBR-Evolution, for discovering a repertoire of walking controllers.
  • To enable legged robots to learn to walk in numerous directions simultaneously.
  • To enhance the speed and efficiency of controller evolution by leveraging discarded solutions.

Main Methods:

  • The Transferability-based Behavioral Repertoire Evolution (TBR-Evolution) algorithm was developed.
  • Novelty search with local competition was employed to find diverse and high-performing solutions.
  • A transferability approach combining simulation and real-world experiments was utilized.

Main Results:

  • TBR-Evolution successfully discovered hundreds of walking controllers for various directions.
  • The algorithm demonstrated significantly faster learning compared to independent controller evolution.
  • A hexapod robot equipped with TBR-Evolution controllers could reach all points within its reachable space.

Conclusions:

  • TBR-Evolution offers a new paradigm for simultaneously optimizing multiple robot behaviors.
  • The algorithm enables efficient multi-directional locomotion for legged robots.
  • This approach significantly expands the practical applicability of legged robots in complex environments.